If you run an ecommerce store, you have thought about switching email platforms at least once. Most businesses do not stay on their old platform because it is better. They stay because migration is scary: automations, segments, forms and templates all sit behind the contact list, and one broken flow can cost real revenue.

In this guide I walk through how a Klaviyo to Omnisend migration actually works, step by step, based on my own Shopify store. The video this article is based on is a paid partnership with Omnisend; my opinions are my own.

What actually gets migrated?

The scope depends on the platform you are coming from. Contacts are transferred with their subscription status. Automations, segments, signup forms and your chosen master templates are rebuilt inside Omnisend. That word matters: because automation logic differs between platforms, the migration team does not just import a file, it recreates your live flows.

That means revenue-critical automations such as the welcome series, abandoned cart and browse abandonment can be verified in the new system. Before you submit the request, audit your current contact list and write down exactly which flows must be carried over.

The 4-step migration process

Step 1: Create your Omnisend account and connect the store

Shopify, WooCommerce or any supported platform. Once the store is connected, Omnisend maps your product and customer data structure.

Step 2: Submit the free migration request

On the migration page you describe your current platform, contact count and the structure you want moved. It takes a few minutes. The team gets in touch within 3 to 5 business days.

Step 3: Grant controlled account access

The access invitation arrives by email. Your data stays private and you can revoke access at any time. If anything is unclear, a 30-minute expert session is one form away.

Step 4: Setup and testing

Automations, segments, forms and templates are recreated in your account. You then check that everything works with your branding, offers and customer journey.

Two timelines people confuse

According to Omnisend’s current migration page, the contact transfer itself usually completes within 1 to 24 hours. A full migration, including rebuilt automations, sender domain verification and testing, typically takes up to about 5 business days. Five days is not “uploading a CSV”; it is the time for the system to become operational. Your actual timeline depends on account size and scope.

The most common mistake: closing the old account too early

Do not shut down your previous platform the moment contacts are moved. Omnisend’s own advice is to keep it active until you have confirmed that the new automations trigger correctly and exported any historical reports you need.

Before switching off the old system, test at least these four things:

1. Do new subscribers receive the welcome series?
2. Does a shopper who abandons a cart land in the right automation?
3. Are unsubscribed contacts still suppressed?
4. Is the sender domain authenticated and working?

What to check inside the Omnisend panel

• Automation: review active flows not just by name but by trigger conditions, delays, filters and message content. Save after every change.
• Audience and Segments: high spenders, lapsed customers and product-interest groups should not receive the same message. Build segments on customer data.
• Forms: test signup forms on mobile and desktop. The AI editor lets you adjust brand colours, logo and copy in seconds.
• Templates: hundreds of ready templates. For new stores I recommend the 10% discount template; “Edit with AI” translates and adapts it to your brand.

Cost: up to 35% lower

Based on Omnisend’s public comparison dated May 2026, the Standard plan can cost up to 35% less than the comparable Klaviyo plan depending on contact count and selected features. Not everyone saves the same amount; real cost depends on list size, plan tier, billing period, region and features. Compare current pricing side by side for your own list. In my 10,000-contact scenario the difference was significant.

Who should consider this migration?

• Your cost grows every time your list grows
• You want email and SMS marketing managed in one place
• You want to scale and analyse scattered automations with AI support
• You want to solve this with a few prompts, without deep technical knowledge
• You do not want to pay consultants thousands of dollars for the move

Still, before migrating, inventory your needs: how many automations, segments and forms, and which historical data truly matters. The right migration starts with the right inventory.

Key takeaways

• Contacts move in hours; the full working migration takes up to about 5 business days.
• Automations are rebuilt, not imported, so verify triggers, delays and content.
• Keep the old platform live until the four core tests pass.
• Savings of up to 35% are possible, but compare pricing for your own list size.

FAQ

What gets migrated to Omnisend? Contacts with subscription status are transferred; automations, segments, forms and master templates are rebuilt. Scope varies by source platform.

How long does the migration take? Contact transfer in 1 to 24 hours; full migration including rebuild, domain verification and tests up to about 5 business days.

Should I close my old account immediately? No. Keep it active until new automations are confirmed and historical reports are exported.

Is Omnisend cheaper than Klaviyo? Up to 35% lower depending on contact count and features, according to Omnisend’s May 2026 comparison. Compare for your own list.

Watch the full walkthrough (Turkish): https://youtu.be/PWMnuIvg4q4. Based on a paid partnership video with Omnisend.

The post Klaviyo to Omnisend Migration: The Real 5-Day Plan (Step by Step) appeared first on Digital Market Mentoring.

Key Takeaways

• Tencent’s Tangent is a 295B parameter model released free with commercial Apache 2.0 licensing — no restrictions
• Scored 78 on coding benchmarks, beating many closed-source competitors
• Hallucination rate dropped from 12% to 5% — significantly more honest than typical models
• Already deployed in real products: WeChat assistants, Yuanbao, and video games
• Free access through OpenRouter until July 1st (later extended to July 21st)
• This is part of a deliberate Chinese strategy: free models, cheap infrastructure, ecosystem lock-in

What Tangent Actually Delivers: The Numbers

When I first pulled up the benchmarks, I had to double-check I was reading them right. Tangent scores 78 on coding tests — that’s above many closed models that charge premium prices. On science and reasoning benchmarks, it hits over 90 points. But the figure that genuinely impressed me was the hallucination rate.

Tencent claims they reduced the “made-up answer” rate from 12% down to 5%. In my experience testing dozens of models, hallucination is the silent killer of productivity — you don’t notice it until a wrong answer costs you time or credibility. A 5% rate puts Tangent in genuinely trustworthy territory for research and coding workflows.

The model also jumped from 35% to 45.6% on certain reasoning benchmarks, surpassing DeepSeek in specific categories. Looking at the comparison charts across LRM (Large Reasoning Model) evaluations, Tangent sits at or near the top alongside Qwen and Cloud models. What struck me was seeing a completely free, open-weight model ranking first in some categories against paid competitors like GPT-4, Claude Opus, Gemini, and others.

Why “Free” Here Actually Means Free

I’ve learned to be skeptical of “free” AI announcements. Usually there’s a catch — rate limits, non-commercial clauses, or the model quietly disappears. Tangent’s license is Apache 2.0. That means you can download it, modify it, run it commercially, embed it in products — with zero restrictions. No attribution requirements that cripple usage, no enterprise licensing traps.

This isn’t theoretical. The model is already running in WeChat’s own AI assistants, in Yuanbao, and even inside a video game. This is real production deployment, not a research demo. When I see models benchmarked on LLM Arena or other leaderboards, I always check whether they’ve been tested on real users or just synthetic tests. Tangent has actual user volume behind it.

How I Accessed Tangent (No Downloads Required)

Here’s the practical part I know most readers want. You don’t need to download 295 billion parameters to your laptop. I accessed Tangent entirely through OpenRouter, and it was genuinely free when I tested it.

The process: search for “Tangent” on OpenRouter, look for the model marked “free” (not the paid tier running at roughly $0.20-$0.80 per million tokens). Create an API key, then integrate it into whatever interface you prefer — I used it through Claude Code, but it works with OpenCat, various agent frameworks, or direct API calls. OpenRouter’s interface breaks down which models excel in which domains, which browsers support them, and real usage statistics.

Important caveat: When I tested, the free tier was available until July 1st. Based on the pattern with similar releases, I expect this could shift to paid tiers eventually — though the transcript later confirmed extension to July 21st. If you’re reading this after that date, check OpenRouter directly for current pricing. The paid version, even if it becomes necessary, still runs dramatically cheaper than Western alternatives.

The Honest Reality: Is It “The Best” Model?

I want to be straight with you here, because I see other coverage claiming Tangent dethrones everything. In my actual usage and based on the deeper evaluations I trust, Claude Opus remains the strongest general-purpose model for most complex tasks. On LLM Arena’s value-per-token analysis, Claude still commands premium pricing because it delivers premium results.

Where Tangent changes the game is the price-to-performance ratio. When a model scoring 78 on coding and 90+ on reasoning costs literally nothing, while competitors charge $7+ per million tokens, the economics become absurd. For prototyping, automation workflows, agent systems, and any application where you need scale rather than absolute peak quality, Tangent is now my default recommendation.

I run mixed setups in my own work — Claude for critical reasoning tasks, Tangent and similar models for volume operations, specific fine-tuned models for niche domains. The strategy isn’t finding one “best” model anymore. It’s building a portfolio based on cost, capability, and risk tolerance.

The Bigger Pattern: Why This Keeps Happening

Here’s what I find more significant than any single benchmark. Yesterday: food delivery company releases free AI. Today: Tencent releases free AI. These aren’t coincidences — they’re coordinated strategic moves.

Consider the contrast. America’s strongest models — GPT-4, Claude, Gemini — are closed, expensive, and politically vulnerable. Remember what happened with Fabri 5? Shut down, reopened, facing potential closure again with days of notice. Your infrastructure dependency can disappear overnight based on regulatory whim.

China’s strategy is inverted: free models, cheap infrastructure, ecosystem habituation. Release powerful weights at no cost. Offer inference cheaper than anyone else. Get global developers building on your stack. Once the dependency exists, the economic relationship follows.

Food delivery, gaming, pure technology companies — different sectors, same playbook. Train the model, prove it beats paid alternatives on benchmarks, then price it at disruption levels. I expect this pattern to accelerate through the coming months. Each announcement will look like separate “new model” news. The reality is a coordinated competitive war where developers and small businesses are the intended beneficiaries — at least in the short term.

What This Means for Your Actual Work

The practical implication I keep coming back to: powerful AI tools are entering your pocket for free. Not subsidized-free. Not free-trial-free. Actually free, with commercial rights, with proven deployment at scale.

For my own automation projects — eBay listing generation, Facebook ad copy, Etsy product descriptions, Amazon review analysis, content systems — I’ve been systematically testing where Tangent-level quality is sufficient. Often, it is. The cost savings let me run more experiments, test more variants, operate at scales that would be economically impossible with premium API pricing.

The caveat I always include: free tools don’t guarantee results. Your prompt engineering, workflow design, quality validation, and business strategy still determine outcomes. But the barrier to experimentation has never been lower.

FAQ

Is Tangent really completely free for commercial use?

Yes. Tencent released Tangent under the Apache 2.0 license, which permits unlimited commercial use, modification, and distribution without restrictions. The free tier on OpenRouter was available through July 21st; check current availability as this may shift to paid tiers.

How does Tangent compare to GPT-4 and Claude?

On specific benchmarks, Tangent surpasses many paid models — 78 on coding tests, over 90 on science/reasoning, and reduced hallucination to 5%. However, Claude Opus still leads for complex general reasoning in my testing. Tangent’s advantage is delivering near-top-tier performance at zero or minimal cost.

Do I need technical skills to use Tangent?

Basic technical comfort helps. The simplest path is OpenRouter’s web interface with an API key. For integration into workflows, you’ll need familiarity with API calls or tools like Claude Code, OpenCat, or agent frameworks. No model download or local setup required.

Why are Chinese companies releasing free AI models?

This appears to be strategic ecosystem building: attract global developers with free, capable tools, establish infrastructure dependencies, and compete with closed American models on price. The companies involved span food delivery, gaming, and pure technology — suggesting coordinated national-level competitive positioning rather than isolated generosity.

Conclusion

I tested Tencent’s Tangent because the numbers demanded attention — 295 billion parameters, 78 coding score, 5% hallucination rate, zero cost. What I found was a genuinely capable tool that fits into a growing portfolio of free, powerful AI options. It’s not magic, and it’s not universally superior to premium alternatives. But it represents something important: the continued demolition of the assumption that better AI must cost more.

The trend is clear. The strategic pattern is clear. For builders, automators, and small business owners willing to test and validate, the tools available at zero cost today would have cost thousands in API fees just months ago. My recommendation: test Tangent while the free access lasts, build your evaluation framework, and prepare for more announcements following this same pattern. The AI infrastructure landscape is being rewritten in real time — and for once, the immediate beneficiaries look like individual developers rather than platform owners.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.

The post Tencent’s Free 295B AI Model Beat GPT-4 — I Tested It appeared first on Digital Market Mentoring.

Key Takeaways

• Omnirode is a free, open-source tool that connects to 160+ AI providers through a single gateway on your local machine
• When your paid API quota runs out, it automatically fails over to free models — you don’t even notice the switch
• I identified 11 providers offering unlimited or near-unlimited free usage, including Kuro (unlimited Claude Sonnet 4.5 and Haiku 4.5), Long Cat (50 million free tokens daily), and Pollinations (no API key required for GPT-5 and Claude access)
• Omnirode’s built-in prompt compression reduces token usage by 15% to 95% without losing meaning — I saw a 70-word description compressed to 19 words, a 72% reduction
• The combined free tier capacity exceeds 30,000 requests and 32 million tokens per day at $0 cost
• A 20,000+ star GitHub repository tracks all free AI APIs with daily updates, which I use alongside Omnirode

The Problem: Death by a Thousand API Subscriptions

Here’s what my typical AI stack looked like before this experiment. Cloud Code for backend-heavy coding work. Cursor for faster project completion. ChatGPT (Codex) for frontend design and general tasks. Each with separate billing, separate limits, separate headaches. And when any single one hit its cap, my workflow didn’t just slow down — it stopped dead unless I paid more.

The real kicker? Different providers work better for different tasks. Claude excels at long-context reasoning. GPT-4 shines at creative writing. Specialized models handle coding niches. But switching between them manually means learning multiple API formats, managing multiple keys, and praying your preferred option works in your country. I’ve had tools become completely inaccessible overnight due to regional blocks.

What I needed wasn’t another subscription. It was a single point of control that could route intelligently and survive on free tiers when money was tight.

What Omnirode Actually Does

Omnirode installs as a small program running locally on your computer. You connect your existing tools — Cloud Code, Cursor, Claude, whatever you’re using — to it instead of directly to each provider. From there, it handles the routing.

Here’s the part that matters: it knows which providers you have quota with and which you don’t. Your paid subscription with Provider A runs out? It automatically sends your next request to Provider B’s free tier. Your budget for the month is exhausted entirely? It drops to the free models without interrupting your workflow. You keep coding. You keep building. The only difference is which logo is processing your prompt behind the scenes.

I tested this deliberately. I let my Cloud Code credits drain to zero while working on a Python automation script. The switch happened invisibly — I only noticed because I checked the logs later and saw my requests had routed through Kuro’s free Claude Sonnet 4.5 instance instead. Total interruption time: zero seconds.

The Free Provider Landscape: 11 Sources I Verified

This is where I got genuinely excited. Through Omnirode’s provider network, I mapped out what’s actually available for free right now. Not “free trial” free. Not “first 100 requests” free. Sustained, usable free tiers.

Kuro offers unlimited Claude Sonnet 4.5 and Haiku 4.5 — no caps I could find. Kodur runs unlimited Timmy K2 and Dipsic W1, both strong coding models. Long Cat gives away 50 million tokens per day, which I calculated would require roughly 1,000+ average-length coding prompts to exhaust. Cloud Flyer provides 10,000 neurons daily across 50 different models. Pollinations doesn’t even require an API key for GPT-5 and Claude access.

In total, I counted 11 providers with unlimited or near-unlimited free usage. Stacking their combined daily capacity: over 30,000 requests and 32 million tokens. For context, that’s more than I use in a typical work week, and it costs exactly zero dollars.

The Hidden Feature That Stretched Free Tiers Even Further

Omnirode has a prompt compression system I initially overlooked. It automatically compresses your prompts by removing redundant words while preserving semantic meaning — essentially lossless text compression.

I tested this with a real example. I had a 70-word product description for an e-commerce listing. Omnirode compressed it to 19 words. The output from the AI model was functionally identical. That’s a 72% token reduction. The tool claims compression rates from 15% to 95% depending on prompt verbosity, and in my testing, verbose prompts saw the highest savings.

For paid users, this directly cuts your bill. For free tier users, it means your limited quota stretches dramatically further. Either way, it’s the kind of optimization that compounds over thousands of requests.

How I Set It Up (And How You Can Too)

Installation took under two minutes. I opened my terminal, ran the install command from Omnirode’s documentation, and connected my existing tools by changing their API endpoint to my local Omnirode instance. Cloud Code, Cursor, my browser-based tools — all routed through one local gateway.

The configuration happens in a single settings file where you rank your preferred providers and set fallback rules. I put my paid subscriptions at priority one, free tiers at priority two, and ultra-free unlimited sources at priority three. Omnirode handles the rest.

For manual control, I also keep the 20,000+ star GitHub repository of free AI APIs bookmarked. It’s actively maintained with daily updates showing which services offer quotas, which models they run, and which countries they’re available in. When I want to manually test a new provider or verify a free tier’s current status, that’s my first stop.

The Honest Limitations You Should Know

I want to be clear about what this doesn’t solve. Free tiers are generally slower than paid ones. You’ll see higher latency, especially during peak hours. Rate limits apply — that 50 million token daily allowance from Long Cat sounds enormous, but if you’re running batch processing jobs, you might hit per-minute constraints.

Model availability changes. What’s free today might require registration tomorrow. The GitHub list I mentioned updates constantly because providers shift their policies. Omnirode smooths over these transitions, but you need to stay informed.

And critically: this is about access and cost reduction, not quality equivalence. GPT-4 Turbo still outperforms most free alternatives on complex reasoning tasks. I maintain paid subscriptions for client work where reliability matters most. Omnirode ensures I never depend on them exclusively.

FAQ

Is Omnirode completely free to use?

Yes, Omnirode itself is open-source and free. You may incur costs if you route through paid APIs, but the tool charges nothing and includes automatic failover to free providers when paid quotas expire.

Which AI tools can connect to Omnirode?

I personally tested Cloud Code, Cursor, and browser-based interfaces. The documentation indicates support for any tool that allows custom API endpoints, including most modern AI coding assistants and chat interfaces.

How does the prompt compression actually work?

Omnirode analyzes your prompt structure, removes redundant or filler words, and rephrases for density while preserving the core semantic instructions. In my test, a 70-word description compressed to 19 words with identical AI output quality — a 72% token reduction.

Is my data private when using free providers through Omnirode?

Omnirode runs locally on your machine, so your prompts aren’t routed through a third-party server by default. However, the individual providers you connect to will process your data according to their own policies. I avoid sending sensitive client information through free tiers with unclear privacy terms.

Conclusion

After three weeks of daily use, Omnirode has become infrastructure I rely on rather than just an experiment. It hasn’t eliminated my paid AI spending entirely — I still subscribe to premium models for mission-critical client deliverables — but it has reduced my monthly AI tool costs by roughly 60% while eliminating the frustration of hard stops when quotas expire.

The combination of intelligent routing, massive free tier aggregation, and prompt compression creates something genuinely valuable: continuity. Your projects don’t stall because your credit card hit a limit. Your learning doesn’t pause because a provider changed policies. You maintain momentum, which in my experience is worth far more than any single subscription fee.

If you’re building with AI on any budget, I’d recommend testing this setup yourself. Start with Omnirode’s basic install, layer in the free provider list for manual verification, and build your fallback hierarchy based on your actual usage patterns. The worst case? You’re back where you started. The best case? You stop worrying about API limits and start focusing on what you’re actually building.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.

The post I Replaced $200/Month AI Costs With Free Models Using One Tool appeared first on Digital Market Mentoring.

Introduction

Akin Yilmaz, the London operator behind digitalmarketmentoring.com, recently shared a fascinating video discussing China’s new AI technology that has managed to surpass ChatGPT in capabilities and even took control of a computer. This article delves into the details of this groundbreaking development, its implications, and what it means for the future of AI.

Key Takeaways:

• The new AI model from China has demonstrated superior capabilities compared to ChatGPT.
• It has shown the ability to take over a computer, raising questions about AI control and security.
• The implications of this technology could significantly impact the global AI landscape.

What is the New AI Model from China?

The new AI model from China has made significant strides in the field of artificial intelligence, outperforming the popular ChatGPT in certain aspects. This model represents a leap forward in AI technology, showcasing the country’s commitment to advancing in this field.

How Did It Take Over a Computer?

The video discusses an incident where the new AI model was able to take control of a computer, demonstrating its advanced capabilities. This raises important questions about the security and control of AI systems, as well as the potential risks associated with their deployment.

Implications of China’s New AI Model

The implications of this new AI model are far-reaching. It not only challenges the dominance of existing AI technologies like ChatGPT but also opens up new possibilities for AI applications. The ability to control a computer could lead to significant advancements in automation, data processing, and other areas.

Why is This Development Important?

This development is important for several reasons. Firstly, it signals a shift in the global AI landscape, with China emerging as a leader in AI technology. Secondly, it highlights the need for robust security measures to ensure that AI systems are used responsibly and ethically. Lastly, it underscores the potential of AI to revolutionize various industries and processes.

Frequently Asked Questions

What are the main differences between China’s new AI and ChatGPT?

The new AI model from China has shown superior capabilities in certain areas, including the ability to take over a computer, which is a significant advancement over ChatGPT.

What security concerns does this raise?

The ability of the new AI model to take over a computer raises serious security concerns. It is crucial to develop robust security measures to prevent misuse and ensure the responsible use of AI technology.

How could this impact the global AI landscape?

This development could significantly impact the global AI landscape by challenging the dominance of existing AI technologies and opening up new possibilities for AI applications.

What are the potential applications of this new AI model?

The potential applications of this new AI model are vast, including advancements in automation, data processing, and other areas where AI can be utilized to improve efficiency and effectiveness.

Conclusion

The emergence of China’s new AI model that surpassed ChatGPT and took over a computer is a significant milestone in the field of artificial intelligence. It highlights the rapid advancements being made in AI technology and the potential for AI to revolutionize various industries. As we move forward, it is essential to consider the ethical implications and security concerns associated with such powerful AI systems.

Watch the full transmission on YouTube: https://www.youtube.com/watch?v=u5askvjOwew

Watch the full transmission: https://www.youtube.com/watch?v=u5askvjOwew

The post How China’s New AI Surpassed ChatGPT and Took Over a Computer appeared first on Digital Market Mentoring.

Key Takeaways

• I built a futuristic website using Hailuo AI’s MCP server connected to Claude, with just one prompt
• Hailuo AI gives you 3 free credits worth $150 each for video generation—enough for 2-3 videos before any payment
• The entire website creation process takes about 15 minutes once you know the workflow
• I use Awwwards.com to find design inspiration from the world’s best-selected websites
• ZenMoogs.com offers free access to Claude Sonnet 3.5 and other models without cost
• This same system can be sold to clients or used for your own e-commerce (especially print-on-demand on Shopify)
• AI is projected to eliminate 57,000+ jobs by June 2026, with 142,000 already displaced—building systems is now essential

How I Found the Right Design Inspiration

Before generating anything, I needed to know exactly what style I wanted. This step is critical—without clear direction, the AI won’t produce what you actually need.

I always recommend visiting awwwards.com, where the world’s best websites are curated. When I browse there, I see constantly updated, super-technological, futuristic designs. I pick one that fits my niche, study its elements, and use that as my reference point.

For example, I clicked on a site called Selatonym. Immediately, the website started playing cinematic video backgrounds automatically. As I scrolled down, I saw high-resolution videos, models moving at different angles, and even a custom cursor shaped like a lips icon. The level of polish was something that would have taken hours of manual work traditionally.

Here’s what I do: I copy the link of the site I like, then feed it to my AI coding agent. You can use Cursor, Claude, or another agent of your choice. I personally use a custom system I built (more on that below), but the principle remains the same—show the AI what you want, then tell it to build something similar.

My Custom AI Assistant: Why I Stopped Opening Multiple Apps

I’m going to be honest with you—I got tired. Tired of opening Cloud, opening Cursor, opening ten different tools for every task. It was eating my time.

So I built something personal. Remember the old Microsoft Office assistant, Clippy, from 15-20 years ago? That paperclip that would ask what you wanted to do? I essentially recreated that concept, but for my entire workflow. My system tracks which projects I spend time on, monitors my computer usage, and manages everything proactively through voice commands.

When I press the microphone button, the assistant slides in from the left and talks to me. I can ask it to open YouTube and play music, manage my tasks, or—crucially—build websites. It runs about 50 different LLM models locally to automate everything I do on my computer through conversation alone.

I call this my “brain-to-computer” system. If there’s interest, I could share the GitHub repository. But the core lesson isn’t my specific tool—it’s that system building matters more than tool switching.

The Free AI Stack I Actually Use

Let me be realistic about what works. For frontend video generation, I tested several tools. Here’s what I found:

Fable 5 produces excellent results for frontend work. But if we’re being completely honest, Hailuo AI consistently delivers the best output for video generation in my experience.

The question becomes: how do you use these without paying?

I discovered ZenMoogs.com—a site that operates like an operator for AI models. When you go to their model section, you can see which models are available and their pricing. Right now, Claude Sonnet 3.5 is free there, along with Cloud Sonnet and Fable. They even announced that Cloud Fable 5 is now available for free.

You simply click “view model” and start using it. If you want to test first, there’s a chat section where you can try Claude Fable 5 at no cost. I should note: when I recorded this, there were only 2 days left on some of these free tiers, so availability changes—always check current terms.

Connecting Hailuo AI to Claude: The Exact MCP Setup

Here’s the technical workflow I use. First, you need to connect Hailuo AI’s MCP (Model Context Protocol) server to Claude.

Step 1: In Claude, click the plus button and find the Connector section. Click “Manage Connector.”

Step 2: You’ll see your connected services. I recommend setting all of them to “Always Allow”—otherwise, Claude will ask for permission for every single action, which becomes frustrating fast.

Step 3: If Hailuo AI isn’t showing in your connectors, click “Browse Connector,” search for “Hailuo,” and add it.

Step 4: Copy the MCP configuration details from Hailuo’s documentation (I share the link in my video descriptions), then paste this into Claude’s Connector section.

Step 5: Connect your Hailuo account. You’ll need to select which browser/agent you’re using—Claude, Cursor, or others. I select Claude, then click on the Hailuo section, which redirects me to authorize the connection.

Step 6: Paste the configuration, name it (I use “Xfield” as my shorthand), and confirm. If the connection doesn’t appear immediately, close and reopen Claude—this resolves most issues.

Once connected, Hailuo gives you 3 credits worth $150 each. I had 2 credits remaining when I recorded this, meaning I could generate 2 more videos. This is enough to create 2-3 videos completely free before any payment is required.

The One-Prompt Website Formula

Now for the actual website creation. The prompt logic is simpler than people think.

I tell Claude: “I want to build an ultra-futuristic website. Use Hailuo AI’s MCP feature, and build me a website like this [link to Awwwards reference site].”

That’s the core. I can upload reference images directly, or just provide the link. I always recommend building on localhost first—review everything, make sure it works, then deploy to production.

The prompt can get longer and more detailed depending on your needs. Do you want to use your own face in the videos? Someone else’s? Different product showcases? You need to specify this to Claude clearly.

From a single prompt, I get a complete website with auto-playing video backgrounds, scroll-triggered animations, and that high-end futuristic feel that used to require agencies and thousands in budget.

How I Monetize This (And How You Can Too)

I don’t just build these for myself—I sell this as a service. Here’s my honest approach:

Option 1: Freelance platforms. List these futuristic website builds on Fiverr or similar platforms. There’s genuine demand.

Option 2: Direct outreach. This is what I do most. I use Apify to extract data from websites I want to target—finding business owners, decision-makers. Then I send cold emails showing exactly what I can do.

My email structure is simple: “Your current website looks like this. I can transform it into this futuristic, automated experience.” I show before/after concepts. When you demonstrate real capability, there are hundreds of people willing to pay thousands for this. I’ve done this work myself, so I know the market exists.

Option 3: Your own e-commerce. For Shopify sellers, especially in print-on-demand, these video-heavy futuristic sites are perfect. The high-resolution product videos, models from multiple angles—it converts.

The entire process, once learned, takes about 15 minutes per site.

Why System Building Matters More Than Ever

I need to share something serious. The projections show that by June 2026, AI will have taken approximately 57,000 jobs, with 142,000 people already displaced by technology at this scale. We’re seeing the highest layoff numbers in history—88,000 people at once in recent waves.

But here’s what I’ve learned: AI isn’t taking your job. People who use AI correctly are taking jobs from those who don’t.

Think about it this way—if I can build and sell these automated systems, your employer can buy them too. They get 24/7 operation while focusing on growth. The jobs being automated first are administrative work, assistant roles, email management, reporting, content writing, and video creation.

I started in a call center at 16. That entry-level work is exactly what my chatbot does now, running 24/7 for 7 years straight. The coding I learned—the entry-level programming—is now handled by AI.

What remains valuable? Building systems. Not writing software, but designing software systems. Creating solutions to human problems. Never depending on a single tool or model.

I use Claude, Hermes, Cursor, GPT, Codex—whatever fits the task. I run local models for free 24/7 on my computer. I stay adaptable because this technology shifts constantly.

When I first launched Turkey’s first AI education program, people didn’t even know how to spell “ChatGPT.” Today, those same people are building automations and consulting for thousands of dollars. The difference wasn’t talent—it was taking action.

Out of 100,000 video viewers, maybe 10 actually implement. That’s not a discouragement—it’s an opportunity. The barrier isn’t knowledge anymore. It’s execution.

FAQ

What is Hailuo AI’s MCP server and why do I need it?

MCP (Model Context Protocol) is a connection standard that lets Claude directly access Hailuo AI’s video generation capabilities. Without it, you’d need to manually generate videos in Hailuo’s interface, download them, then upload to your website. The MCP server automates this entire flow within Claude, making one-prompt website creation possible.

How many free videos can I generate with Hailuo AI?

Hailuo AI provides 3 credits worth approximately $150 each when you connect through their MCP integration. This typically allows 2-3 video generations before any payment is required. After that, paid plans apply. Always verify current terms as promotional offers change.

Can I really sell these AI-built websites to clients?

Yes, but with honest expectations. I use cold outreach via Apify-extracted leads and show prospects their current site versus what I can build. The key is demonstrating real value—faster load times, better engagement, modern aesthetics. I don’t promise guaranteed income; I deliver a service that saves clients time and improves their presence. Some pay thousands; results depend on your sales effort and portfolio quality.

What’s the difference between using Cursor and Claude for this workflow?

Both support MCP connections, but I use Claude for this specific workflow because of its integration handling. Cursor is excellent for code editing and local development. The core requirement is any agent that supports MCP protocol—you can use Claude, Cursor, or others. I personally prefer testing on localhost first regardless of tool, then deploying once everything works correctly.

Conclusion

I built a futuristic website from one prompt using free AI tools, and you can set up the same system. The technology exists today—Hailuo AI for video, Claude for orchestration, free model access through ZenMoogs, and design inspiration from Awwwards.

But the real skill isn’t knowing these tools exist. It’s building systems that combine them into something valuable. Whether for your own e-commerce store or as a service to sell, the 15-minute workflow I’ve described here is how I actually work.

The people adapting aren’t necessarily smarter—they’re just building systems faster. Start with one automated workflow. Expand from there. The window for early advantage is closing as these tools become mainstream, but the window for skilled system builders remains wide open.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.

The post I Built a Futuristic Website With 1 Prompt Using Free AI Tools appeared first on Digital Market Mentoring.

And here’s where it gets wild: the internet split in two. Half the users were screaming that Claude had become terrible. The other half called it the upgrade of their lives. So which is it?

I’ve been testing Sonnet 5 for two days straight, and I can tell you this much: features that used to sit behind a paywall are now sitting in free accounts. Most people don’t even realize it yet. In this article, I’ll show you exactly what’s changed, what you can do with it, and the one hidden detail you need to watch out for.

Key Takeaways

• Free Claude accounts now include web search, multi-step task execution, and real file analysis—capabilities previously limited to Pro users or unavailable entirely
• Anthropic claims Sonnet 5 performs near their top-tier Opus model at a much lower cost, which is why they pushed it to everyone overnight
• Power users and developers are complaining because stricter safety filters block edge-case requests, and API costs are shifting
• Normal users—those doing research, email writing, and document analysis—got a free upgrade
• The hidden cost: Sonnet 5 “thinks more,” burning through up to 40% more tokens per task, meaning free daily limits deplete faster
• API introductory pricing ends late August 2025—test now if you’re building systems

What Actually Happened: The Overnight Switch

Anthropic had a movie-worthy week. First, they brought back Claude 3.5 Opus (the legendary model governments had restricted). Then, quietly in the same week, they dropped Sonnet 5 and switched millions of users’ default model to it overnight—free users, Pro users, everyone.

You didn’t do anything. But your Claude is now a different Claude.

Anthropic’s claim is bold: Sonnet 5 delivers near-Opus performance at a much cheaper price. That’s why they didn’t hesitate to stuff it into free accounts. Features you couldn’t buy with money yesterday are sitting in your free account today.

Three Free Features I Tested That Weren’t This Good Before

1. Live Web Research and Current Information

I selected Sonnet 5 as my model and asked it a current-events question. The old model would answer from its training data cutoff. Sonnet 5? It went out to the web, checked multiple sources, summarized them, and cited exactly where each piece of information came from.

This used to be Perplexity’s strongest advantage. Because Perplexity built its entire product around web-sourced research, it consistently beat ChatGPT and other models. Now Claude Sonnet 5 does it too—built right into the free tier.

You can even toggle between quick direct answers and deep research mode. I waited for the full research version, and it delivered cited, current information with source links I could verify myself.

2. Multi-Step Task Execution Without Losing Context

This one genuinely changes things. I uploaded a document and gave Sonnet 5 a complex instruction: “Read this document, extract 5 critical dates, then draft a pre-meeting email based on those dates.”

In the old model, it would lose the thread halfway through—forgetting the document context or mangling the task sequence. With Sonnet 5, it controlled the entire workflow itself. No dropped context. No broken chain. It read, extracted, and drafted in one continuous execution.

For my e-commerce operations, this is transformative. I upload product performance data, ask for analysis, and get actionable summaries in seconds instead of the hours I used to spend—or the serious money I used to pay for specialized software.

3. Real Document Analysis (Not Demo Answers)

I threw a PDF at it. A real table from my business. Asked real questions: Which products sold how many units? What were the patterns?

The answers didn’t come from training data. They came from my document. I use this across my e-commerce platforms to compress hours of work into minutes. Software that charges serious money for this now has free competition that runs in seconds.

The Real Divide: Who’s Actually Complaining?

Scroll YouTube or Reddit and you’ll find the “Sonnet 5 is worse” crowd. But who’s actually saying this?

After digging into the complaints, the pattern is clear: developers and power users pushing boundaries. They’re hitting stricter safety guardrails that reject edge-case requests. There’s also a cost calculation shift on the API side that I’ll explain in a moment.

For normal usage—writing emails, doing research, analyzing documents—the majority got a free upgrade. The social media posts calling it “game-changing” come from this group.

My take? Ignore the headline drama. If your usage is normal, you won.

The Hidden Detail: Sonnet 5 Thinks More, Costs More

Here’s the catch Anthropic doesn’t advertise prominently. Sonnet 5 “thinks more.” That’s good for answer quality. But it has a price.

Heavy users report burning through up to 40% more tokens for the same tasks. For free accounts, this means your daily limits hit faster—especially on heavy jobs involving file uploads and web research.

My workaround: Feed large tasks in single bulk prompts instead of chipping away with small questions. One comprehensive request burns less quota than five incremental ones.

For API builders, there’s another time pressure: introductory pricing runs until late August 2025, then costs increase. If you’re building systems on Claude’s API, test and lock in now.

How to Choose the Right Plan (Claude’s Built-In Tool)

If the feature comparisons confuse you—and they should, this stuff is complex—Claude has a built-in system on the right panel of your interface. You can tell it exactly what you’ll use it for.

I tested this myself. I wrote: “I’ll only upload files for analysis and write emails. Which plan is best?” It analyzed my usage pattern and recommended the $15/month plan. Simple. If you’re unsure, let the system guide you rather than guessing from comparison charts.

The Bigger Picture: Build Systems, Not Model Dependencies

This week perfectly illustrates something I’ve been saying for months. Claude 3.5 Opus got restricted, then returned. Sonnet 5 became everyone’s default overnight. Nobody asked you.

If you build your business on a system you don’t control, the rules change while you sleep. Models change. Prices change. Limits change.

Invest in your systems, not your model loyalty. Make your architecture modular so you can swap pieces. Today’s Sonnet is tomorrow’s something else. The businesses that survive AI’s rapid evolution aren’t the ones married to specific models—they’re the ones with flexible pipelines that adapt when the ground shifts.

FAQ

What is Claude Sonnet 5?

Claude Sonnet 5 is Anthropic’s latest mid-tier AI model, released in mid-2025. Anthropic claims it delivers performance close to their top-tier Opus model at significantly lower cost. It was pushed as the default model to all Claude users—free and paid—overnight without requiring user action.

Is Claude Sonnet 5 really free for everyone?

Yes, Sonnet 5 is available in free Claude accounts. However, free accounts have daily usage limits that may deplete faster than before because Sonnet 5 consumes approximately 40% more tokens per task. For unlimited usage, paid plans start around $15-20/month depending on your needs.

Why are some users saying Sonnet 5 is worse?

Complaints come primarily from developers and power users running edge-case requests. Sonnet 5 has stricter safety guardrails that reject certain boundary-pushing prompts. Additionally, API costs are changing and introductory pricing ends late August 2025. For standard tasks like research, email writing, and document analysis, most users report improvements.

How can I use Sonnet 5 for e-commerce and business automation?

I personally use it for three core workflows: analyzing product sales PDFs to identify top performers, researching current market trends via web search, and executing multi-step tasks like extracting data from documents then drafting follow-up communications. These tasks that previously required paid software or hours of manual work now complete in seconds.

Conclusion

Claude’s ecosystem shifted dramatically this week, and most users gained capabilities without spending a penny. Sonnet 5 brings genuine productivity upgrades to free accounts—web research, autonomous multi-step execution, and real document analysis that pulls answers from your files, not its training data.

The trade-off is real: more token consumption, faster limit depletion, and stricter filters for edge cases. But for normal business use—research, content, analysis, automation—the balance sheet tilts heavily toward gain.

My recommendation? Test it yourself. It’s free. See if the difference matters for your actual workflows. And whatever you build, build it modular. The only constant in AI right now is that everything changes overnight.

Have you tried Sonnet 5 yet? Did you feel the difference? Drop your experience in the comments—I read every single one.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.

The post Claude Sonnet 5 Tested: Free Users Now Get Pro Features Overnight appeared first on Digital Market Mentoring.

Key Takeaways

• Zero capital required to start — just a Stripe account and free tools
• NotebookLM (Google’s free AI tool) generates podcast episodes from any affiliate product URL
• Dual revenue streams: affiliate commissions + Spotify ad revenue per listen
• Real results from my dashboard: $250 in 7 days, $500 in 14 days, $1,200 in 30 days, ~$63,000 all-time
• Daily time investment: 10-15 minutes to create and upload new episodes
• Global reach: English-language podcasts access worldwide audiences automatically

Why I Started Testing NotebookLM for Affiliate Marketing

I’ve been in e-commerce and online business for 16 years. I’ve built dropshipping stores, managed hundreds of client accounts, and tested pretty much every “passive income” system that exists. Most fail because they require either significant upfront capital, technical complexity, or constant manual work.

What caught my attention about NotebookLM was different. This is a free Google tool that most people use for research or note-taking. Almost nobody — I’d estimate maybe 50-100 people globally — is using it specifically to generate monetized podcast content for affiliate marketing. I started experimenting in early 2025, and the speed of content creation shocked me.

Here’s why this matters: traditional affiliate marketing requires you to write blog posts, create videos, or run ads. Each of those takes hours or costs money. NotebookLM generates a complete, natural-sounding podcast episode from a simple product URL in under 5 minutes.

How the Two-Stage System Actually Works

Stage 1: Secure Your Affiliate Infrastructure

Before touching any AI tool, you need two things in place. First, affiliate accounts with actual companies. I provide a vetted wholesaler and affiliate network list to my community — companies like Okyanusi (okyanusi.com) and others across different niches. Registration is free and takes minutes.

Each company has an “Affiliate” or “Partner” section in their footer. Click it, register, and you get a unique tracking link. When someone purchases through your link, you earn commission. Payment methods vary — Payoneer, PayPal, bank transfer, Wise — and I always recommend setting up a Payoneer account since it works across eBay, Amazon, and most affiliate networks.

Critical requirement: You need a Stripe account to receive payments from some platforms. If you don’t have one, open one before starting. This is the only “infrastructure” cost — and it’s free to set up.

Stage 2: The NotebookLM Podcast Factory

This is where the automation happens. Here’s my exact workflow:

1. Copy any affiliate product URL — say, a software tool, a course, a physical product
2. Paste it into NotebookLM’s source section
3. Click “Insert” and let the AI analyze the entire website
4. Navigate to “Deep Dive Conversation” — this generates a podcast-style discussion
5. Customize the prompt to make it persuasive, not just informational (this is the key step most people miss)
6. Generate the episode — takes 3-5 minutes
7. Download the audio file

The default output sounds like two people casually discussing a product’s pros and cons. But here’s what I learned: if you don’t customize the prompt to include persuasive elements and a clear call-to-action, people listen but don’t click. I spent time refining prompts that naturally lead to “this solved my problem, here’s where to get it” moments.

From Audio File to Spotify Revenue: The Distribution Engine

Creating content is worthless without distribution. Here’s my upload process:

I use Spotify for Podcasters (formerly Anchor, which Spotify acquired). It’s completely free. After downloading the NotebookLM audio:

• Upload the file to a new episode
• Write a compelling title and description
• Paste your affiliate link in the episode description — this is where conversions happen
• Add episode artwork (I use my own photos, but you can create simple covers with Canva)
• Schedule or publish immediately

One technical detail that cost me clicks early on: make sure your affiliate link is formatted as an actual hyperlink, not plain text. Spotify listeners on mobile can’t copy-paste easily. Clickable links in descriptions dramatically improved my conversion rate.

Spotify automatically distributes to Apple Podcasts, Google Podcasts, and other platforms. So one upload reaches multiple audiences. Because NotebookLM generates in English, your potential audience is global — not limited to Turkish speakers or any single market.

The Numbers: What I Actually Earned

I want to be completely transparent about what’s possible versus what’s typical. These are my tracked results:

The all-time figure comes from consistent content creation over years. This compounds: episodes I uploaded in 2020 still generate occasional sales when new listeners discover them. That’s the definition of passive income — work once, earn repeatedly.

But I need to emphasize: these results required consistent daily effort. I upload new episodes regularly, refine my prompts based on what converts, and track which affiliate products perform best. The “passive” part comes after the upfront work, not instead of it.

Why This Beats Traditional Affiliate Methods in 2025

I’ve watched affiliate marketing evolve for 16 years. What worked in 2021 often fails now. PayPal integration with eBay? Dead. Many “guru” methods from old YouTube videos? Obsolete.

The NotebookLM podcast model has specific advantages for 2025:

• AI-generated content is still underutilized — most competitors haven’t caught on
• Audio consumption is growing — podcast listenership continues rising globally
• Zero ad spend required — Spotify’s algorithm can surface your content organically
• Dual monetization — affiliate commissions plus Spotify’s own ad revenue program once you qualify
• Scalable without scaling costs — creating 10 episodes takes roughly 10x the time of creating 1, not more

My honest assessment: this won’t make you rich overnight. But as a zero-capital entry point to affiliate marketing with genuine passive income potential, it’s the most efficient system I’ve tested this year.

FAQ

How do I withdraw money from Spotify and affiliate programs?

For Spotify ad revenue, connect a Stripe account in your Spotify for Podcasters dashboard. For affiliate commissions, each network differs — most offer Payoneer, Wise, or direct bank transfer. I strongly recommend opening a Payoneer account as your universal payment hub since it works across eBay, Amazon, and major affiliate networks.

Do I need any money to start this system?

Technically zero. NotebookLM is free. Spotify for Podcasters is free. Affiliate program registration is free. The only potential cost is if you want custom podcast cover art, but Canva’s free tier handles this. You do need a Stripe account (free to create) to receive certain payments.

How much time does this require daily?

I spend 10-15 minutes per episode: paste URL into NotebookLM, customize the prompt, generate, download, upload to Spotify with description and link. More time invested generally correlates with more earnings — I know people doing 30-60 minutes daily who scale faster. The key is consistency, not marathon sessions.

Can this work if I don’t speak English well?

NotebookLM generates native-sounding English automatically from any website URL. You don’t need to speak English yourself — the AI handles the entire audio creation. However, you’ll need basic English to write episode titles and descriptions, or use translation tools. The podcast itself sounds professionally produced regardless of your language skills.

Final Thoughts

I’ve built multiple six-figure income streams over 16 years in this industry. The NotebookLM affiliate podcast system isn’t my largest — my managed eBay dropshipping accounts still outperform it monthly. But for pure accessibility, speed to first dollar, and genuine passive income potential with zero capital risk, it’s unmatched in 2025.

The catch? Most people who read this won’t execute. They’ll bookmark it, feel momentarily inspired, and return to scrolling. The $63,000 figure represents years of showing up daily, not a lottery ticket. If you’re willing to invest 10-15 minutes consistently, the infrastructure is there. The AI is there. The audience is there. The only variable is whether you’ll start.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.

The post I Tested NotebookLM for Affiliate Marketing: $63K Passive Income Breakdown appeared first on Digital Market Mentoring.

Introduction

Amazon is one of the largest online marketplaces, and while it offers a platform for sellers to reach a global audience, disputes and misunderstandings can occur. In this article, we’ll explore how to recover money owed by Amazon using Sellerboard, a tool that can help sellers manage their Amazon accounts more effectively. Akın Yılmaz, the operator behind the desk session, shares his expertise in this area.

Key Takeaways

• Sellerboard is a powerful tool for managing Amazon seller accounts.
• It can help you recover money owed by Amazon through detailed reporting and dispute resolution.
• Understanding the process and steps involved is crucial for successful recovery.

What is Sellerboard?

Sellerboard is a software solution designed for Amazon sellers to manage their accounts more efficiently. It offers a range of features, including financial reporting, inventory management, and dispute resolution. One of its key benefits is the ability to help sellers recover money owed by Amazon through its detailed reporting and analytics capabilities.

How to Use Sellerboard to Recover Money Owed by Amazon

Step 1: Set Up Your Sellerboard Account

1. Sign up for a Sellerboard account if you haven’t already.
2. Connect your Amazon seller account to Sellerboard for seamless integration.

Step 2: Analyze Your Financial Reports

Sellerboard provides detailed financial reports that can help you identify discrepancies in your Amazon payments. Analyze these reports to find any unpaid amounts or discrepancies.

Step 3: Initiate a Dispute

If you find any unpaid amounts, use Sellerboard to initiate a dispute with Amazon. This process involves providing evidence and reasoning for why you believe you are owed money.

Step 4: Monitor the Dispute Resolution Process

Once the dispute is initiated, monitor its progress through Sellerboard. Keep track of any communication from Amazon and respond promptly to any requests for additional information.

Step 5: Receive Your Payment

Upon successful resolution of the dispute, Amazon will release the owed funds to your account. Sellerboard will update you on the status of your payment, ensuring you receive your money in a timely manner.

Frequently Asked Questions

What is the role of Sellerboard in recovering money from Amazon?

Sellerboard serves as a comprehensive tool that provides detailed financial reports and dispute resolution services to help Amazon sellers recover money owed by the platform.

Is there a fee to use Sellerboard?

Yes, Sellerboard offers different pricing plans based on the features and services you require. It’s essential to review their pricing options to find the plan that best suits your needs.

How long does it take to recover money using Sellerboard?

The time it takes to recover money can vary depending on the complexity of the dispute and the responsiveness of Amazon. However, Sellerboard’s streamlined process can help expedite the resolution.

Are there any alternatives to Sellerboard for recovering money from Amazon?

While Sellerboard is a popular choice, other tools and services may also assist in recovering money from Amazon. It’s important to research and compare different options to find the one that works best for your specific situation.

Conclusion

Recovering money owed by Amazon can be a complex process, but with the right tools and strategies, it is possible to ensure you receive your rightful earnings. Sellerboard is a powerful resource for Amazon sellers, providing the necessary features to manage disputes and recover unpaid amounts. By following the steps outlined in this guide, you can effectively use Sellerboard to resolve payment discrepancies and secure the money you are owed.

Additional Resources

• Skool Community: A platform for learning and networking in the digital marketing space.
• Free Starter PDF: Gain insights into digital marketing strategies and tools.
• Book a Call: Schedule a consultation with Akın Yılmaz for personalized advice.
• Apply / Inner Circle: Join the exclusive community for advanced digital marketing mentorship.
• TurkoLister: A tool for Amazon sellers to manage their listings and inventory.
• Full Channel: Explore more content from Akın Yılmaz on digital marketing and Amazon selling.

Watch the full transmission on YouTube: https://www.youtube.com/watch?v=X8nRq4PW3vQ

Watch the full transmission: https://www.youtube.com/watch?v=X8nRq4PW3vQ

The post How to Recover Money Owed by Amazon Using Sellerboard: A Comprehensive Guide appeared first on Digital Market Mentoring.

Key Takeaways

• AI now handles 90% of my e-commerce operations across 20+ stores, from product research to automated fulfillment
• UK retail is already cashier-less: scan your phone, fill your basket, walk out — payment deducted automatically via AI cameras
• Manual e-commerce methods are becoming obsolete; AI can analyze customer data, predict buying behavior, and optimize listings faster than any human team
• Building automated income systems took me 16 years of mistakes; the shortcut is finding someone who has already mapped the maze
• 80% of online “how-to” content is incomplete or misleading — the real algorithms change too fast for static videos

Why I Stopped Hiring People for My Back Office

Let me be direct about something uncomfortable. I used to employ people to run the backend of my stores. Today, I don’t need them. When a system works automatically, keeping someone on payroll isn’t kindness — it’s bad business. I say this not to celebrate it, but because pretending otherwise helps nobody.

Here’s what changed. AI solutions now find algorithm-winning products in seconds. I type “cat food” and the system surfaces top sellers, locates major wholesalers, shows exact sales volumes, and uploads winning listings to my stores — all in the time it takes to make coffee. The same AI analyzes what customers click, watch, and ignore, then adjusts my inventory to match actual buying impulses. A human might personalize for 10 customers. This scales to millions without breaking stride.

My eBay stores alone generate hundreds of pounds daily — sometimes £50, sometimes £200 — with same-day payouts that Amazon (30 days) or Etsy (2 weeks) can’t match. At £1.50 exchange rates, £117 in morning sales becomes nearly 8,000 Turkish lira before I’ve had breakfast. And this isn’t luck. One newer account hit $5,000 in its first month; another reached $12,000 in three months. The system works because I spent years understanding platform algorithms, then encoded that knowledge into automation.

The “Time Travel” Advantage Nobody Talks About

When I moved from Turkey to the UK, I experienced what I call “time travel.” Technologies and business models arrive here 5-10 years before they reach Turkey. I was among the first to teach Facebook dropshipping in Turkey — not because I invented it, but because I saw it working here and shared it early. Same with AI: when ChatGPT was already transforming UK business, Turkey had barely any Turkish-language AI education content.

This lag creates a window. UK supermarkets now operate without cashiers. You download an app, scan on entry, fill your basket, walk out. AI cameras track everything; your account debits automatically. No queues, no staff, no human friction. The system costs maybe £1 million to install. Two years of cashier salaries exceed that. Employers will do this math everywhere eventually.

I’ve watched this pattern repeat: what seems distant arrives faster than expected, and those who prepared early capture disproportionate returns.

Why Most Online “Education” Wastes Your Time

Here’s a number that should alarm you: 80% of online business tutorials contain incomplete or outdated information. I’ve analyzed millions of learners over 15+ years of teaching. The pattern is consistent. Search “Amazon FBA” or “AI business” and eight of ten videos are thinly veiled sales pitches — no actual system, just marketing theater.

The remaining 20% might show genuine steps, but platforms change algorithms constantly. What worked six months ago suspends accounts today. I’ve received countless messages: “I followed YouTube videos, my eBay account got suspended, what now?” The answer is usually painful. They learned fragmented tactics without understanding platform logic, account architecture, or compliance frameworks.

Time is the only asset you cannot recover. People pay you a salary precisely because they’re purchasing your hours. Spending those same hours chasing incomplete free information — testing 20 software tools, watching contradictory advice, rebuilding suspended accounts — often costs £10,000+ in hidden losses versus investing in structured knowledge upfront.

The Real Price of “Doing It Yourself”

I spent 16 years navigating this maze. The first 10 were grueling; the last 6, thankfully, have been consistently profitable. But I paid in something more valuable than money: time away from family, missed moments, the psychological toll of uncertainty. For three years early on, I couldn’t sleep properly — checking accounts at 3 AM, dreading policy violation emails, wondering if tomorrow’s sales would cover yesterday’s mistakes.

Here’s what self-learning actually requires: 7-8 hours daily study, expensive software trials (I tested roughly 50 tools, kept 20), multiple account suspensions, and the mental health impact of operating without a safety net. Most people don’t finish this path. Sixty percent abandon after their first account closure. The ones who succeed share one trait: they treat failures as data, not verdicts.

Edison tested 1,000+ filaments before light. My “filaments” were business models — affiliate marketing, service agencies, product brands, marketplace arbitrage. Most failed. A few succeeded spectacularly. The wins covered all losses and then some. But I wouldn’t wish that timeline on anyone starting today, not when the technology to compress it exists.

What Actually Builds Automated Income

There’s a phrase I use carefully: “making money while sleeping.” It’s possible. I’ve had £17,000 sales days while genuinely doing nothing. But the system generating that was built through intensive, focused work — not magic, not lottery tickets.

The components matter: proper account architecture, AI-integrated product research, automated listing and fulfillment, compliance-aware operations, and platform-specific algorithm understanding. My current setup runs across eBay, Amazon, Shopify, Etsy, and other channels — each requiring different technical configurations. The AI doesn’t replace strategy; it amplifies execution speed by orders of magnitude.

Critical distinction: AI alone won’t make you money. AI plus proven systems, plus platform expertise, plus continuous adaptation — that combination works. I’ve seen people buy “AI business” courses expecting automatic riches. They quit disappointed. The tool is extraordinary; the operator still matters enormously.

FAQ

Can I really start e-commerce with zero capital?

No — not truly zero. The dropshipping model I use minimizes inventory costs since you don’t buy products until customers pay. But you’ll need platform fees, basic software subscriptions, and potentially educational investment. “Zero capital” claims are usually marketing fiction. Realistic starting budget: £500-2,000 for proper foundation.

How fast can AI automation replace manual e-commerce work?

In my operation, AI now handles 90% of tasks I previously did manually or delegated to staff — product research, listing creation, pricing optimization, order routing, and basic customer communication. Implementation took years of refinement, but today’s tools let newcomers achieve similar automation in weeks with proper guidance.

Why do so many eBay dropshipping accounts get suspended?

Approximately 80% of suspensions I see stem from following incomplete YouTube tutorials that miss critical compliance requirements — proper account verification, VERO-aware product selection, accurate item location policies, and customer service standards. Platform algorithms detect pattern violations quickly. Structured education prevents most suspensions; patchwork learning invites them.

Is passive income truly passive, or is there ongoing work?

Honest answer: it’s leveraged, not truly passive. My automated stores require perhaps 5 minutes daily monitoring — checking for system alerts, reviewing unusual patterns. Building that automation demanded years of intensive work. Maintaining it requires staying current with platform changes. The “passive” phase comes after significant active investment, not instead of it.

Conclusion

The economic landscape isn’t waiting for anyone’s permission to transform. AI integration in commerce moved from competitive advantage to baseline requirement faster than most anticipated. I don’t promise easy outcomes — my own path involved 16 years of iterations, failures, and gradual refinement. What I do know: the gap between those who adapt systematically and those who hesitate keeps widening. The technology to build automated income exists today. The variable is whether you’ll invest the focused effort to wield it properly, or spend years learning slowly what could be compressed into months. Your timeline depends on which path you choose.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.

The post I Automated 90% of My E-Commerce Business With AI — Here’s What Happens Next appeared first on Digital Market Mentoring.

Key Takeaways

• 300+ AI-powered Q&A pairs covering eBay, Etsy, Amazon, Shopify, and general e-commerce troubleshooting
• Mini-courses with 38 to 1,000+ videos organized by marketplace, including my own £13,000 single-day eBay case study
• Curated software directory with tools I personally tested for product research, listing, and automation
• Affiliate platform database including PartnerStack, which generated me roughly $66,000 in total commissions
• Free PDF resource pack with supplier lists, calculators, and SOPs—delivered via email due to Instagram spam limits

Why I Built the Money Box Instead of Selling Another Course

Here is the honest truth: I have watched people spend thousands on courses, software, and mentoring only to quit two years later with nothing to show. They buy ten different tools that do the same job. They pay for mentoring but get generic advice. They spend seven or eight hours a day on product research and still pick losers.

I run my own stores—hundreds of them. On a typical day I do £15,000 to £20,000 in sales across my shops. One of my accounts did £13,000 in a single day, and I showed the screen recording in a YouTube video. Another store I built for a Platinum client has generated over £4,000 to £5,000 in profit. These are not hypotheticals; they are my actual dashboards.

Because I still operate actively, I have to stay current. When a new AI tool drops, I test it that week. When eBay changes an algorithm, I adapt my systems the same day. The Money Box is simply the distillation of that real-world activity into a searchable, organized format so you do not have to relearn everything from scratch.

Inside the Mini-Course Library: From Zero to Running Systems

The core of the Money Box is a structured learning path. I grouped every YouTube video I ever recorded into marketplace-specific playlists:

• eBay: Product sourcing, order fulfillment, account health, restriction recovery, and AI automation
• Amazon: FBA, FBM, Prime strategies, and best-seller list integration
• Etsy: Listing optimization, print-on-demand connections, and account protection

Each playlist contains between 38 and 97 full-length videos, plus shorts. I specifically created an “AI Agent” playlist for 2025 because artificial intelligence is now doing the heavy lifting in my stores. I do not manually source products anymore. I do not manually answer customer messages. AI agents handle fulfillment routing, and I monitor dashboards.

If you are just starting, I recommend going in order: eBay fundamentals → AI automation → advanced scaling. The videos are free on YouTube, but the Money Box puts them in sequence so you are not jumping between random topics.

The 300+ Question AI Database: Ask, Get an Instant Answer

This is the part I am most proud of. Over five years, I collected literally thousands of questions from Instagram DMs, YouTube comments, and live streams. I organized the most common ones into a searchable database with AI-generated answers.

Here is how it works in practice. You type “suspend” or “suspension solution,” and the system surfaces the exact recovery steps. You ask “best app for eBay and Etsy listings,” and you get my tested recommendations with explanations. I wrote or verified every answer myself; this is not scraped from forums.

The database covers:

• Marketplace-specific troubleshooting (eBay restrictions, Amazon policy blocks, Etsy verification)
• Software comparisons (when two tools overlap, I tell you which one to pick)
• Supplier and wholesaler directories by country (UK, US, and global)
• Financial setup (bank accounts, virtual cards, tax calculators)

Software and Affiliate Directories: Only Tools I Actually Use

I am ruthless about software recommendations. If I have not logged into it and processed real orders with it, it does not go in the directory. Currently there are hundreds of apps listed, but I emphasize that you only need a handful. Many tools duplicate functionality—if one listing tool handles both eBay and Amazon, I flag that so you do not double-pay.

The affiliate section is where I share revenue-generating platforms. PartnerStack is my standout example. I joined their program, shared referral links, and the results so far:

• Last 7 days: ~$350
• Last 90 days: ~$4,000
• All-time: ~$66,000

I am not promising you will replicate these numbers. Affiliate income depends on your audience, niche, and consistency. But the platforms are legitimate, and I document which ones pay reliably.

How to Access the Free PDF Resource Pack

This is where I need to explain a technical limitation. I used to send the Money Box PDF directly via Instagram DM. After sending hundreds per day, Instagram flagged my account for spam. I now receive restrictions when I share links directly. So here is the current workaround I built:

1. Find my post or story with the “free PDF” call-to-action
2. Click the YouTube link I send via automated DM
3. Scroll to the video description and click the email signup link
4. Enter your name and email address
5. Wait 1–2 minutes for the delivery email (check spam if needed)
6. Download the PDF and open it on your device

The PDF itself contains:

• Software links with my affiliate codes where applicable
• Worldwide wholesaler and warehouse directories
• Free product sourcing lists
• eBay and Facebook profit calculators
• Customer service scripts and response templates
• Social media growth tools and Facebook groups
• Banking and virtual server recommendations

I know the extra click is annoying. I am building a user portal with daily checklists, motivation trackers, and themed interfaces to replace the PDF entirely. That portal will have a free 3-day trial for newcomers, though it is not live yet.

What Comes Next: The Software Platform and VIP Options

The Money Box is evolving from a PDF into a full web application. I am currently in dark mode development, adding:

• Searchable daily to-do lists
• Category-scored supplier databases
• Direct video integration so you never leave the platform
• Personalized user dashboards

For those who want done-for-you implementation, I offer VIP Platinum account management. We build the store, connect the AI systems, and run them 24/7. You provide a verified eBay account (takes about 30 minutes to set up), and we handle the rest. I have done this for hundreds of people already, and the typical feedback I get is messages about achieving financial freedom—exactly why I started this in the first place.

I will be raising prices soon because demand exceeds my team’s capacity. If you are self-sufficient, the free tools and YouTube content will remain available. If you want mentorship with weekly calls, select the support-line package when you register.

FAQ

Is the Money Box really free, or are there hidden costs?

The core Money Box—mini-courses, AI Q&A database, software directory, and PDF resource pack—is completely free. I fund it through affiliate commissions on tools you choose to use, and through my paid VIP account management service for those who want done-for-you setup.

Why can’t you send the PDF directly on Instagram anymore?

Instagram’s anti-spam system restricted my account after I sent hundreds of PDF links daily via DM. The platform now blocks or penalizes mass link sharing. I built the email delivery system as a workaround, and I explain this process in a dedicated video linked in my bio.

How many videos are in the free mini-courses?

The AI Agent playlist contains 97 videos. The eBay and Amazon fundamentals playlists contain 38 videos each. There are also roughly 1,000 shorts for quick tips. I update these continuously as marketplaces and AI tools evolve.

Do you guarantee income if I use your system or join VIP?

No. I show my actual results—£13,000 days, £4,000+ client profits, $66,000 in affiliate earnings—to demonstrate what is possible with the right systems and timing. Individual results depend on market conditions, account health, product selection, and execution. I never promise specific earnings.

Conclusion

I built the Money Box because I was tired of watching people overpay for fragmented information. After five years and three million trainees, I know the questions you will ask before you ask them. The AI database, curated software list, and structured video courses are my answer—free for anyone willing to put in the work.

If you want to go faster, my team and I can build and run the systems for you. If you prefer self-service, everything you need is in the Money Box and on my YouTube channel. Either way, stop buying ten different courses that teach the same thing. Start with one organized system, execute consistently, and adapt as the market changes.

The free PDF portal is open now. The full software platform is coming soon. And as always, my DMs are open for questions—just expect the YouTube redirect if you message me on Instagram.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.

The post I Built a Free AI E-Commerce Toolkit — Here’s What’s Inside appeared first on Digital Market Mentoring.