>_ actions.engineering

AI builds what you describe.Not what you actually need.

Your product vision exists at 30000 feet. But code gets written at ground level - with framework choices, API designs, and edge cases. The Action Graph maintains coherence between your high-level intent and the actual implementation details AI agents need to build working software.

The Vision: 30000ft

AB"Build a payment system"

The Reality: Ground Level

ABAPIAuthWebhooksRetryTests

The same journey. Different resolutions. The Action Graph navigates both.

Who It's For

Solo Founders

Navigate between big-picture strategy and implementation details without losing coherence. Ship faster while maintaining your vision.

Engineers

Focus on the work that matters. Let progress document itself. Stay at the right altitude for the problem you are solving.

Team Leads

See what is actually happening at every level. Understand both the forest and the trees. Communicate progress without interrupting it.

The Action Graph

Context for AI coding agents. Every decision you make - framework choices, naming conventions, architectural patterns - gets captured and reused. Your AI agents write code that actually fits your codebase.

Vision to Reality

Start with "build a payment system." The graph discovers you need Stripe, webhook handlers, idempotency keys, retry logic. Each layer of implementation detail stays aligned with your product goals.

Context That Learns

Every PR review, every "use Tailwind not CSS," every "we always add tests" - captured. Your AI agents learn your codebase conventions and engineering standards without explicit documentation.

Work That Documents Itself

Git commits, PR descriptions, standup updates - all generated from actual work. Stakeholders see real progress. Your code documents why it exists, not just what it does.

Early access opening soon

We are building a future where your high-altitude vision seamlessly becomes ground-level execution.

Join the waitlist