StackAudit
AI Spend Audit Platform
Overview
StackAudit is a full-stack audit platform that analyzes AI tool spending and generates optimization recommendations. Users submit their AI tool inventory through a structured form, and the system runs a deterministic rules engine that produces 12–15 actionable recommendations covering consolidation, cost reduction, and workflow improvements. The platform features a resilient LLM summary pipeline that cascades through Claude, OpenAI, and template-based generation to ensure output reliability. Reports are persisted in Supabase with public URL access, OpenGraph previews for social sharing, and lead capture endpoints. Security measures include honeypot spam prevention, request throttling, and SEO-optimized metadata.
Tech Stack
Key Outcomes
Built a rules-based audit engine that generates 12-15 optimization recommendations from AI tool inventories.
Designed a fallback LLM summary pipeline using Claude, OpenAI, and template-based generation for resilient output.
Implemented Supabase-backed persistence, public report URLs, OpenGraph previews, and lead capture via REST endpoints.
Added honeypot spam prevention, request throttling, responsive UI, and SEO metadata to support credible public-facing workflows.