Examples
Where TruthAPI changes the plan.
The difference is not more context. It is better evidence before the agent commits.
| AI Coding Task | Approach w/o TruthAPI | With TruthAPI | Outcome |
|---|---|---|---|
| Design a multi-agent code review workflow | Invent reviewer roles, thresholds, orchestration, and consensus logic from scratch. | Finds postmortemthis, Claude Code review plugins, multi-model consensus patterns, confidence filtering, and token-burn failures. | Before: After: |
| Cut Claude Code / Codex token burn | Use generic advice like "summarize more" or "use less context." | Finds model routing, context caching, codebase memory, ccusage, Headroom-style indexing, Coinbase-style warm-cache reuse, and runaway-subagent reports. | Before: After: |
| Decide whether to adopt an MCP connector | Read official docs, install it, then discover OAuth, scope, or security issues during integration. | Checks docs plus GitHub issues, user reports, security notes, related problems, and alternatives. | Before: After: |
| Build guardrails for agents on untrusted diffs | Write a generic sandbox checklist: containers, no network, logs, approval prompts. | Finds Agent Guard, ActraDeck, compass, h5i, Claude Code Action security docs, prompt-injection records, and Codex sandbox settings. | Before: After: |
| Choose the right workflow for a new feature | Ask the agent to plan and implement in one long session. | Finds separate planning/implementation/validation workflows, Archon/Argon orchestration, mixed-provider patterns, and second-brain coordinator setups. | Before: After: |
"TruthAPI is now part of our design and planning stage for new builds."
Founder, Keelo.ai