With your team — and they stay autonomous.
You've got an agentic product to ship and it's stalling. Not for lack of talent — for lack of method and agentic experience. That gap costs you time and money while competitors move.
Founder Sprint — four days to get you to autonomy. I put your AI-native foundation in place, productionizing your coding agents included. Then we settle the business decisions to bake in immediately, with no six-month discovery phase.
After 15 years on systems from finance to SaaS startups, this is what I see everywhere — while most teams still build like it's 2021. I build them AI-native from the foundation, a discipline I call Vibe Engineering.
AI is now intelligent enough to run complex tasks end to end, unsupervised. We call these agentic systems. I help you build them natively into your own platform: not an AI feature bolted onto a static app, but agents doing the real work, at the core of the product.
This shift puts the whole software industry in question. Value no longer lives in features — an agent clones those overnight. It lives in sharp vertical expertise and method: what you do better than anyone, encoded into agents that run and scale it 24/7. The winners are the ones starting now, not the ones waiting for it to be obvious.
Your team has an agentic product to ship and it's stalling. Not for lack of talent — for lack of method and focus. The Founder Sprint is the accelerator that unblocks it, and makes you autonomous.
We do it together, in three moves:
I lay the AI-native agentic foundation of your product, with RED — license included.
Together we settle the calls that keep dragging and blocking the ship.
Your team leaves able to continue without me.
A product that finally moves.
What really costs you is every month it doesn't ship.
Then the incubator, to stay at the edge.
No team to build it yet? I bootstrap your MVP on an AI-native foundation, then hand off to your freelancers — or point you to a partner I trust. On quote.
Founder Sprint · Done-With-You
A SaaS team already mature on AI workflows, caught off guard by the agentic shift: two months stalling on their v2 with freelancers, for lower-quality output. In 48h, we laid the agentic foundations of the v2, production-ready — the primitives of an agentic SaaS in their own brand. Product features still had to be wired in, but on a solid base instead of a site that wasn't moving.
RED · external technical validation
The team at an AI media studio evaluated RED for their new SaaS. The verdict, from their own technical memo: RED's reference architecture is “nearly exact” to their product, and the SaaS base represents “3 to 4 months of development saved.” Proof written by the client, not by me.
Agentic engineering moves every month: what worked yesterday is already outdated. The incubator is the continuity. Your teams apply the good practices daily and stay at the edge, long after the bootstrap — with or without me in the code.
5 modules, 41 lessons, continuously updated. The method and the production discipline of the 90/10: specs, setup, security, system design.
Monthly live sessions with replays (the key lessons, in action) and Gems of the Week.
Collective pair-debugging and architecture reviews. For intensive one-on-one support, that's the dedicated retainer, on request.
Your product's memory: decisions, tensions, and the drift between what you wanted and what the agents produced. Early access and member pricing reserved for subscribers.
Degressive per-seat pricing, billed annually. The engine, no opaque bundle.
€1,500 / yr
€1,500 / seat · reference
≈ FounderAgencies & teams: + tailored kickoff workshop, from €4,000 (one-time).
RED isn't part of the incubator: the tool stays separate from the knowledge. The RED license is included only in the Founder Sprint.
You've got the domain expertise and the product in your head. Then comes the plumbing — the part that has nothing to do with your idea, yet stands between you and production: auth, billing, multi-tenancy, the agent engine… 3 to 4 months before the first real feature.
RED is that wall, already cleared. The hardest primitives of an agentic SaaS, built and battle-tested across multiple projects:
Email, OAuth, passkeys, 2FA. Isolated organizations: members, billing, audit, API keys.
Stripe: plans, entitlements, metered usage, checkout. You charge from day one.
Typed declarative tools, background tasks, results that flow back into the thread. Your agents do the work.
State updates in the UI in real time, no polling. Built for collaborative workspaces.
Global admin portal, audit trail on sensitive actions. Serious B2B from the start.
AI SDK v6, multi-provider routing, Anthropic native. Swap models without a rewrite.
A team was building their AI-augmented writing SaaS on their own engine. They had the domain expertise — what they lacked were the primitives to take it to the next level. After evaluating RED, their own CTO's verdict:
“RED's reference architecture is “nearly exact” to our product. The SaaS base represents 3 to 4 months of development saved.”
AI writes 90% of the code. The last 10% — specs, agentic setup, security, system design — decides whether the product succeeds. RED covers the 90%. I take the 10% that actually counts.
I install it on day one of the Sprint: the days we spend together go straight to your product, never the plumbing.
Proof in code: what I actually use and ship — public, open source, battle-tested daily. Not slides.
AI-native reactive backend, now a public starter kit. The engine behind every Sprint.
Explore REDCredential protection for agentic workflows. A malicious package doesn't read your keys.
View on GitHubShared product memory for teams building in the age of agents.
SoonClaude Code plugins forged in daily use — opinionated, minimal, honest. Not vibe-coded experiments.