Felipe F.

Most AI agents die in the demo. I build the ones that survive production. I shipped a deterministic AI agent into a regulated B2B workflow at a US enterprise SaaS company: schema-bound tool calls, validation at every boundary, human confirmation before execution. Client setup went from days to under 15 minutes. Zero unsafe tool calls since launch. I also wrote publicly about what did not work, and why we changed direction. That honesty is the job. What I do: → Take an LLM feature from "cool demo" to "safe in production" → Design guardrails: tool schemas, validation layers, confirmation gates, failure modes → Scope AI features with real technical feasibility, not wishful thinking → Audit an existing agent and tell you why it hallucinates What I bring beyond AI: 12+ years in product across enterprise SaaS, a Tier 1 telecom with 60M subscribers, and a streaming platform where I ran a zero downtime migration of 335,000 subscribers. I work async, I write clearly, and I ship. Based in Sydney, available for US and EU handover workflows. Case studies in my portfolio below.