I build, evaluate, and help teams adopt practical AI workflows.

Portrait of Michael Onofre — Working practice
Build · Evaluate · Enable

About

I focus on AI evaluation, agentic workflows, and practical AI enablement.

I map real work, build AI-assisted systems with prompts, agents, MCP tools, APIs, and automation, then test how they behave beyond the ideal demo.

I evaluate outputs for accuracy, instruction adherence, reasoning, hallucinations, clarity, and edge cases—then add human-review checkpoints, documentation, demos, and training so teams know when AI should automate, assist, or escalate.

How I work

From working prototype to working practice.

Build
Prompts, agents, MCP, APIs, and automation.
Evaluate
Accuracy, edge cases, safeguards, and human review.
Enable
Demos, playbooks, onboarding, and training.

Selected work

Built around real constraints.

All projects

AI-Powered Trading SaaSLive

Tradings.Guru

36 AI-driven tools for market analysis, options flow, insider tracking, and signal generation. Next.js on Vercel with a custom tool-caching layer (stale-while-revalidate, Vercel KV, per-route TTLs) over Finnhub and FRED data feeds. AI-generated signals with entry/target/stop-loss tracked against real P&L. Tiered SaaS. Chrome extension funnel.

Next.js

SaaS

Read case study