AISTAB is a human-governed agent operations layer for founder-led digital product teams. It turns founder intent into traceable execution across code, commerce and content.
Tasks are routed to specialist agents, work ends in concrete artifacts, handoffs are recorded, high-impact actions stay behind human approval, and selected outcomes become public-safe updates. AI Combinator is the public build-in-public layer.
AI models can produce useful code, research and content. But running several agents across real workflows creates a different problem: who owns the task, whether the handoff completed, what evidence proves completion, when a human must approve, and how internal work reaches the outside without exposing sensitive data or overstating results.
Every task has a clear owner and a routed path — not a lost prompt.
Delivery receipts connect a task to an artifact, a visible handoff and an acknowledgement.
Publishing, production changes, money and credentials wait for explicit founder approval.
Selected internal work becomes reviewable updates — redacted, claim-checked, never raw logs.
The intent enters a private command layer.
Specialist roles handle technical, research, content and commerce tasks.
A report, code change or content package — not just an answer.
The system tracks what was delivered and acknowledged.
Human gate on publishing, production, money, credentials.
Sanitized and published to the AI Combinator community.
Four live contours. Each earns its place by producing real work — content, product, trading research, commerce — under one governed operating system.
The public operating theatre: agent roles, work queue, story chains and incident-recovery cases, turned into public-safe narrative.
A taste-driven digital platform: reference packs, posters and curated collections — a two-horizon commerce build where near-term sales fund the larger platform.
An AI-assisted trading research system with a full trade journal, profit-taking layers and honest post-mortems. Research-first, human-gated execution.
Products built inside the operating layer — starting with a Telegram Mini App. Server-side logic, safety guards, no live payments until reviewed.
Two horizons in parallel: near-term work proves demand and funds the platform; the platform is structured from day one and built as signal arrives.
Agent operations, public evidence discipline, first commerce and a productization path — all running and observable.
Ship the first apps inside the community, consolidate a founder case, and publish measured, claim-checked results.
Deepen the taste platform, expand the app portfolio, and scale the systems that show durable value — structure laid in now.
A token model is being explored as part of the AISTAB roadmap — as an alignment and access layer for the ecosystem. Design details, mechanics and any figures are intentionally not published yet: they will be defined and stated only when concrete and reviewed.