Founders do not need more AI demos. They need the real workflow, wired into product, data, and shipping cadence.
Or email [email protected] if the problem needs context first.
The model output looks good in a sandbox, then reality shows up. Product edges, latency, weird data, handoffs, and the part where a human still has to trust the result.
Most teams stall between prototype and product because nobody owns the full stack. The feature becomes a lab experiment instead of a shipped workflow.
COMMON FAILURE MODE
Nice demo. No instrumentation. No product loop. No real user path. No one accountable for turning it into software people can rely on.
I built WhisperBoard into a product used by more than 50,000 people. I built mcp-browser-use into open source tooling with 850+ GitHub stars. I know how to move from rough scope to working product without dragging a committee into it.
When I join, you get one person who can shape the product, write the code, handle the ugly edge cases, and keep momentum high until the thing is live.
MVP SPRINT
Best when you need the first version in users' hands fast. Tight scope, one core journey, production-ready enough to learn from real behavior.
FRACTIONAL CTO
Best when the product exists, the pace matters, and your team needs a hands-on operator for architecture, code, and shipping discipline.
IOS + AI APPS
Native products where the model is inside the core loop, not stapled onto a demo screen.
AGENTIC SYSTEMS
Browser automation, internal tools, evals, and the glue code that keeps agents useful in production.
FULL-STACK AI PRODUCTS
Frontend, backend, inference, deployment, analytics, and handoff. One operator, end to end.
Agentic engineering for builders: a Solo Cell blueprint, context engineering, eval gating, and a 30-day plan to ship safely with repo-aware agents.
Why GPT-5 matters: less drama, more utility. The real progress isn't in AGI hype but in boring wins that actually ship.
Learn how to prepare your repository for AI agents to understand, navigate, and contribute effectively to your codebase.
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I am not here to narrate obvious problems back to you in a deck. I am here to make the product real, shorten the distance to shipping, and remove technical drag while we do it.
DEPLOY IF
ABORT IF
We will figure out whether the bottleneck is scope, stack, product shape, or execution. If it is a fit, I will tell you the fastest version worth shipping.
Prefer async? Email [email protected] with what you are building.