Michelin-kitchen audit for your AI coding agent setup: finds where you are still the bottleneck, places you on the trust ladder, and hands you the one upgrade that lets you run more agents with less supervision.
AI Integration — Plans and builds LLM API connections (OpenAI, Anthropic, and more) into real apps. Covers model selection, cost estimation, key safety, error handling, and working code. Adapts to non-engineers and developers alike. Stops the #1 mistake: shipping your API key to the browser.
Analyze paid advertising, CRM and revenue data to find where ad spend stops turning into qualified leads, customers and revenue. ProfitLeak AI identifies funnel leaks, calculates key metrics and gives evidence-based actions to improve marketing efficiency.
I design AI prompts professionally and have analyzed thousands of prompts across ChatGPT, Claude, and Gemini. I distilled the 5 essential elements that separate effective prompts from weak ones into this instant diagnostic tool. Rule-based scoring ensures consistent, deterministic results every time.
Audit AI agent workspaces for authority, secrets, data flow, memory, supply-chain, and evidence risks—locally and without executing target code.
Audit AI agents, Skills, MCP configurations, tool permissions, and coding-agent setups for prompt injection, excessive agency, credential exposure, data leakage, unsafe code execution, supply-chain risks, memory risks, missing approval controls, and runaway autonomy. Get a calibrated Security Score, Audit Confidence, evidence-backed findings, remediation steps, verification checks, and residual-risk analysis.