GTM Is You

"GTM Is You" means the go-to-market strategy is not a separate plan—it is you, the person building with AI. In AI development, this matters because models alone are not enough. As of 2026, a real AI agent (an AI that can act on its own) needs several layers: the LLM (large language model, the reasoning engine), memory to remember across tasks, and a context system to know what information is relevant. For example, GPT 5.5 scores 88.7% on the SWE bench benchmark (a test for AI programming capability), but that score only measures the model, not the complete system.

The next major bottleneck for AI is "system scaling" or "scaling the harness"—the infrastructure that connects the model to tools, files, and actions. You can run a high-reasoning model like Opus for strategy, then switch to GPT 5.5 for coding, and a local model like Qwen for quick research, all within the same workflow. Platforms like Codex and Claude Co-work let you connect AI to Google Suite, Zoom, Notion, and HubSpot, making the model useful beyond a chat window.

Your personal memory of preferences and workflows is what turns a generic model into a tool that "remembers how you like to work." Without you providing that context, the AI starts from zero every time. GTM is you because your specific needs, habits, and integrations determine whether the AI system actually works.

Here’s a step-by-step guide to using GTM Is You — a framework built around four stages: Think, Build, GTM, and Victoria. The process starts before you touch any tool. First, you Think by finding a real problem. Scrape Reddit or talk to an ideal prospect to uncover their specific pain points — that raw research becomes your project idea.

Now move to Build. Open your language model of choice (Claude Code, for example) and feed it your prompt. A concrete example: ask it to "build a GTA-style 3D open world game that runs in the browser. Write the vehicle physics, the character controller, and AI yourself. Generate all meshes and textures procedurally. Do not copy any Rockstar assets." This is a single prompt that includes all requirements. Work step by step. For larger builds, avoid one giant plan — tell the tool "now do this, now do that" to keep control.

When you reach GTM (Go-to-Market), you switch from building to launching. Use a tool like GWS CLI (a command-line set of Google Workspace skills) to automate sales tasks. For example, you can create a list of five leads by specifying signals: "Find people who just hired their first GTM engineer. Then use Prospeo to get their emails." The CLI reads documentation and handles setup for you — you just follow its instructions.

Finally, Victoria is the stage where you review and refine. After your launch, analyze results and loop back to Think to improve.

The biggest GTM (go-to-market) mistake is building what you could buy. Just because you can build something with AI tools doesn’t mean you should. One developer tried to rebuild a whole CRM inside Claude Code. That is hundreds of hours wasted on software that already works well and costs less per month than your time. The real skill is deciding what to build yourself versus what to take off the shelf. Treat it as a trade: a monthly SaaS (software-as-a-service) subscription versus your own building and maintenance time.

Another pitfall is switching between AI tools too often. Pick one lane—Claude Code, GPT-5.5, or whatever—and go deep for 90 days. Become extremely dangerous with that one tool. Consolidation matters. Don’t juggle five models; use the right model for the correct job to be token efficient (using fewer tokens to save cost at scale).

Best practice: start with a clear plan. When you iterate, identify exactly what failed in the output so you improve on those specific things. For complex work—whole campaigns or migrations—hand it to your smartest model, not your everyday driver. Save quick jobs for cheaper, faster models. Finally, remember that you already have everything you need to build almost anything. The bottleneck is not the tooling; it is clearly defining what “good” looks like for your goal.