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We are building the operating layer for prompt and agent engineering — where teams discover, customize, run, observe and monetize AI artefacts across multiple models without vendor lock-in.
A strict schema that encapsulates prompts, tools and agent graphs with versioning, licensing and attribution.
Transparent 70/30 revenue share, forks and collaboration to grow creator income with clear governance.
Built-in cost, latency and token metrics so teams can choose models wisely and stay on budget.
We saw a fragmented landscape: directories without execution, marketplaces without governance, and observability tools bolted on after the fact.
So we stitched the journey together: discover → customize → run → observe → monetize, across OpenAI, Anthropic, Gemini and local models — avoiding lock-in and surfacing true costs.
Our north star is impact: a portion of revenue funds meals for people in need. As we scale creators’ income, we scale our social contribution.
Create or run a unified artefact, view real-time cost, and share it in the marketplace.