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Stop relying on fragile, single-prompt AI wrappers that hallucinate and break in production. I build robust, multi-agent AI systems that act as a reliable, autonomous workforce for your business.
Using advanced frameworks like LangGraph, FastAPI, and React, I design self-correcting AI workflows (Planner → Coder → Reviewer → Human-in-the-Loop → Deployer) that guarantee accuracy, safety, and seamless integration.
The ROI You Can Expect:
🚀 80% faster execution and review cycles through autonomous validation.
🛡️ 90% reduction in AI hallucinations via built-in, self-correcting feedback loops.
🔒 100% compliance with mandatory Human-in-the-Loop (HITL) checkpoints before any final action.
Whether you need to automate complex development pipelines, streamline enterprise operations, or build custom agentic workflows, I deliver scalable, secure, and ROI-driven AI solutions. Let’s build an AI system that actually works in production.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Bloop, a Framer template for AI agent startups. I had a lot of fun animating it and creating its playful mascot.
This is fire! The playful mascot makes AI agents feel so approachable. Framer template for AI startups is such a hot niche right now - great execution!
Everyone is shipping AI agents right now. Almost no one is testing them — and that is the whole problem.
A demo agent and a production agent are different animals. The demo works because you walked it down the happy path. Production breaks on the paths you never imagined.
A real example from my own work: a support assistant correctly handed a conversation to a human when someone wrote "I want to talk to a person" in Spanish — but not in English, because one phrase was missing from a rule. Every automated test passed. It only surfaced when I ran real conversations through it.
That is the gap the "agents will replace everything" wave keeps skipping. The hard part was never making an agent act. It is making it:
• say "I don't know" instead of guessing,
• hand control back to a human at the right moment,
• and prove, with tests, that it still behaves when the input gets strange.
Autonomy is cheap. Trustworthy autonomy is the real engineering.
Before you let an AI agent near real users or real data — what is the first thing you check?
The Spanish vs English handoff bug is such a good example. Every test passes until a real user shows up.
Fixing the AI slop in Design is a shared problem among website designers. That's why I am currently building a solution to that problem.
By the way, The site was generated by AI.
Building an AI slop fixer on a site generated by AI is a nice touch. Curious whether you're focusing more on layout and spacing or on copy and visuals.