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DecimalAI

For agents: DecimalAI docs for building, tracing, versioning and regression-testing AI agents before production; includes quickstart, tutorials and guides.

agent regression testingagent tracingagent manifestsagent versioningai agent deployment

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The beginning of the file, from our validated copy saved 2026-10-24T13:13:44.857Z. Cached copy · Source on decimal.ai

# DecimalAI

- [Catch agent regressions before they ship](https://docs.decimal.ai/introduction.md): The manifest-aware platform for agent change management — catch regressions before deploy, share proven skills, and keep your training data valid as your agent evolves.
- [Build an agent](https://docs.decimal.ai/build-an-agent.md): Create an agent and get it answering — from scratch, from a skill pack, or from skills you pick yourself. About five minutes.
- [Tutorials](https://docs.decimal.ai/tutorials.md): Five tutorials, what each one actually costs you, and what you are holding at the end — starting with the one that needs no account at all.
- [Install a Skill in 5 Minutes](https://docs.decimal.ai/tutorials/install-a-skill.md): Tutorial: pick a skill with a verified benchmark from the public registry, install it into Claude Code or Cursor, and watch it fire — no signup, no SDK, no API key.
- [Quickstart](https://docs.decimal.ai/quickstart.md): See both demos in 2 minutes on seeded data, then wire DecimalAI to your own agent.
- [The 2-Minute Demo](https://docs.decimal.ai/tutorials/two-minute-demo.md): See the impact report and the ranked skills registry on realistic seeded data — one command each, no agent code, no LLM keys.
- [DecimalAI for Engineers](https://docs.decimal.ai/for-engineers.md): Shipping agents to production safely. The deploy-safety reading path: traces, manifests, regression checks, and CI integration.
- [DecimalAI for Platform Teams](https://docs.decimal.ai/for-platform-teams.md): Operating DecimalAI in production: multi-agent debug, teams, RBAC, and security.
- [Agents](https://docs.decimal.ai/guides/agents.md): Naming, splitting, renaming, and configuring per-agent evaluation. The Agent is the unit of identity that ties every other DecimalAI concept together.
- [Tracing](https://docs.decimal.ai/guides/tracing.md): Capture and inspect agent execution traces across any framework.
- [Manifests & Versioning](https://docs.decimal.ai/guides/manifests.md): Automatic agent version tracking with compatibility scoring — detect what changed and what broke.
- [Regression Check (GitHub Action)](https://docs.decimal.ai/guides/regression-check.md): Catch agent regressions before they ship — manifest-aware impact analysis on every PR, no eval cases required.
- [Post-deploy Bisect](https://docs.decimal.ai/guides/post-deploy-bisect.md): A regression slipped past the pre-deploy check. Find the manifest version that broke a metric — without re-running anything.
- [Compatibility Policies](https://docs.decimal.ai/guides/compatibility-policies.md): How DecimalAI classifies traces when your agent changes — keep, repair, replay, or drop — and how to customize the rules.
- [Replay](https://docs.decimal.ai/guides/replay.md): Re-run stale traces through your updated agent and compare results.
- [Skills](https://docs.decimal.ai/guides/skills.md): Reusable agent instructions with observability — from SKILL.md to production analytics.
- [Prompt & skills, v
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