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Developers

E2C is for teams building AI-native systems — not only model prompts. You integrate with an environment where candidates become evidence, evidence becomes state, and state becomes release decisions with a ledger trail.

Mental model

E2C does not control model generation. It adjudicates whether generated outputs may enter the responsibility state space and trigger allowed transitions. Think: candidate → evidence → adjudication → state → allowed action — not “make the model deterministic.”

Documentation

Public guides (quickstarts, architecture notes, API references) will be published after review. Until then, see the documentation hub placeholder and contact us for design-partner access.

Integration surfaces

Expect documentation on:

  • Artifact shapes and field-presence discipline
  • Evidence intake and source boundaries
  • Transition contracts and slot execution
  • Kernel registry and release grammar
  • How harnesses interact without replacing your agent stack

Agents & coding harnesses

Claude Code, Codex, and similar tools are bounded implementation workers in an E2C deployment. They can edit and run code; E2C records whether each responsibility slice completed scoped tests, ledger admission, and release gates. Long autonomous chains are not a substitute for mechanical adjudication.

Private Alpha

Early engineering partners work toward a unified workspace: project/repo intake, responsibility object discovery, validation and authorization, and release gate outcomes with auditable artifacts. Join the waitlist on Support.