I spent decades writing code.
Then I found a way to build in a day
what used to take months.

I need to be upfront with you: I’m not an early adopter by nature. I’m a skeptic. I’ve been a high-level developer for over two decades, and I’ve watched a lot of “revolutionary tools” promise to change everything and deliver very little.

So when AI coding assistants started making the rounds, I tried them the same way I try everything: properly, in production, on real projects. Not toy demos. Real work.

The results were… fine. Occasionally impressive. Mostly mixed. The code quality was inconsistent. Hallucinated APIs. Subtly broken logic that looked right until you ran it. Nothing I’d trust in a real codebase without babysitting every line.

I went back to writing it myself. As usual.

Then this year, everything changed.

I tried Claude Code — Anthropic’s agentic coding tool. And it was different. Not “impressive for an AI” different. Actually, genuinely good. Write-it-yourself-and-feel-no-shame good. It understood architecture. It made sensible tradeoffs. It could look at a 3,000-line file, understand what it was doing, and extend it correctly.

I started using it seriously. Then I wired it up with OpenClaw — an intelligent AI proxy that routes and chains model requests. The combination was something I can only describe as AGI-level performance. Not just writing code. Understanding requirements, spotting problems I hadn’t considered, self-correcting when something didn’t compile.

I was building things that would have taken me weeks — in hours. Genuinely professional output. Clean Architecture. Proper DI. No spaghetti. The kind of code I’d write myself on a good day.

There was one serious problem.

I was burning through API tokens faster than I’d pay a top-tier overseas developer. At peak usage I was spending more per day than some teams pay per week for offshore dev time. The frontier models — Claude Opus, GPT-4 class — are extraordinary, but calling them for every single token is like hiring a principal engineer to rename your variables. Technically brilliant. Financially unsustainable.

I nearly stopped. The quality was unlike anything I’d seen, but the economics didn’t work.

Then the insight hit me: not every task needs the most expensive model.

Architecture decisions? Complex refactors? Planning a feature from scratch? You need the big brain for that. But filling in the implementation, writing the tests, making the small targeted edits a plan calls for? A smaller, faster, cheaper model handles that perfectly. The expensive model does the thinking. The affordable model does the typing.

I built a tool to orchestrate exactly this. Smart model routing: expensive models where they matter, lean models everywhere else. The planning stage routes to a high-capability model — the one that reasons like a senior architect. The code-generation and test-fixing stages route to a model that costs a fraction of the price and executes perfectly when it knows exactly what to build. The quality stays elite. The cost drops through the floor.

The result? Code that passes senior code review. A full SaaS billing system — entities, service layer, Stripe webhooks, Blazor UI, unit tests — in under an hour. For less than a dollar in API costs.

I looked everywhere for something that already did this. Nothing like it exists. There are chatbots that write code. There are Claude wrappers. There is nothing that does intelligent multi-model orchestration in a real professional development environment with version control, staging, build pipeline, and a proper project workspace.

So I built it. That’s EasyAgents.

Top model for everything: extraordinary quality, completely unsustainable cost. Fine if you’re a funded startup. Not fine if you’re building a product or taking on client work.

Cheap model for everything: the cost is great until you need real reasoning. Complex architecture, subtle bugs, non-trivial refactoring — cheap models give you confident-sounding code that subtly breaks in production.

EasyAgents routes intelligently. The task that needs genuine intelligence goes to the model built for it. The task that needs reliable execution goes to the model that does it for a fraction of the cost. You get the output of the expensive model at the cost of the affordable one.

EasyAgents is not a tool for beginners who want to skip learning to code. It is a force multiplier for developers who already know what good code looks like — and are tired of writing the same plumbing for the tenth time.

If you can tell the difference between code you’d ship and code you’d rewrite, you will immediately recognise the quality. If you’ve been frustrated that every AI coding tool produces output that looks right but falls apart under scrutiny — this is the thing you’ve been waiting for.

EasyAgents is in active beta. I’m capping early access to keep the infrastructure stable and so I can personally support everyone who joins in this phase.

The early adopter rate is $29/mo. When beta closes and version 1.0 ships, the price moves to $79/mo. Join now and your rate is locked in for life — it never increases, regardless of what we charge new customers.

This isn’t marketing language. It’s the actual deal. I want the people who took a chance on this early to benefit the most.