Generate a board-ready report on any GitHub repo’s AI stack — provider spend, optimization opportunities sized in dollars, architecture review, security posture, and peer benchmarks. Export to PDF or share a URL.
Pick a focus and the report builder pulls the right slices of the underlying audit — quick to skim, dense enough to defend in a meeting.
Spend by provider and model, with dollar-sized optimization opportunities ranked by impact and engineering effort.
End-to-end stack composition: providers, frameworks, agents, vector stores, observability — graded against best practice.
Guardrails, content filtering, rate limiting, prompt-injection posture, key hygiene, and OWASP LLM Top 10 coverage.
Which models are aging or already sunset, migration effort estimates, and recommended replacements with pricing deltas.
Your repo versus a chosen peer or category leader on every audit dimension. Built for board decks and investor reviews.
A two-page narrative version of the audit — high-signal numbers, top three risks, top three opportunities, in plain English.
Analyze repositories, competitors, products, and marketplace readiness — powered by AI.
Each report is a multi-page PDF + shareable URL covering: provider and model inventory, monthly spend estimates with confidence bands, optimization opportunities sized in dollars, anti-pattern findings, RAG / agent topology, deprecation risk for any aging models, peer benchmarks against similar repos, and a prioritized action list.
Three audiences. (1) Engineering leaders preparing a quarterly AI budget review. (2) FinOps teams looking to justify or challenge AI line items. (3) Founders pitching investors who want a credible, third-party view of an AI roadmap's unit economics.
Minimum: a public GitHub repository URL. Optional: your provider API keys (read-only, never stored — see the Key Audit page) for live spend data, your domain for org-level enrichment, and a competitor / peer repo for comparative analysis.
The free audit at /audit/{owner}/{repo} is the underlying analysis. Reports are curated, exportable formats of that analysis plus optional comparison, peer benchmarking, and executive-summary framing — the kind of thing you can drop into a board deck or compliance review.
Roughly 30 to 120 seconds for a single-repo report depending on repo size. Comparison reports (two repos side-by-side) take 60–180 seconds. You can leave the page; we'll email you when it's ready.
Yes. Reports are versioned. When the underlying audit data changes (new providers detected, new models released, new optimization heuristics added), you can regenerate the same report with one click and the previous version is preserved.
Or run a faster free LLM audit on any public repo, scan your API keys for spend risk, or browse live audits from leading AI teams.
