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fercreek/README.md

Fernando Castañeda · Agentic AI Architect

I build AI-native products and run them in production, with paying clients.

The product I work on most these days is the one that builds the others: a team of AI agents that I direct, measure and correct every day.

See how the system works → fercontreras.com/system


The system, as of October 8, 2026

Layer What it does Today
Agents 16 specialists I wrote: an analyst, a risk reviewer, an infra monitor, one orchestrator per product 734 agent launches in the last 30 days, 168 of them to these 16 and the rest to general-purpose agents
Skills Written procedures an agent loads on demand: specs, deploys, QA, client messages 102
Guardrails Hooks that stop a risky action before it runs 26 hooks. 74 of 812 launch attempts were stopped in the last 30 days
Board A local dashboard where every session reports, and where I answer pending decisions with clicks 21 automated checks
Memory Every mistake becomes a written lesson with a 10-second way to check it 380 lessons across 9 repos

How it improves. A mistake becomes a lesson. A lesson that keeps repeating becomes a skill. Skills that travel together become an agent. I approve each step; nothing promotes itself.


What it runs

  • Studio Link: SaaS for dance and sports academies. Billing, attendance, WhatsApp communication, automated reports.
  • Vayla: real-time judge scoring for live competitions, dance and gymnastics.
  • Litebox Parcel: cross-border parcel platform. Quoting, onboarding, payments.
  • Cargo Control: logistics control for a McAllen to Monterrey operation. Telegram bot, OCR scanning, QR labels.

Open source

  • focus-adhd: ADHD-friendly responses for Claude Code. Length scales with your decisions, not the agent's effort.
  • Encontreras: agentic lead pipeline that runs on your own machine.

Beyond the code

2x National Bachata Champion and crypto trader. I bring a performer's rhythm and a trader's risk management to engineering.


Connect

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