Proof of Capability

Percoro

A production-grade platform designed, built, governed, and deployed solo — with AI as the only development partner. The proof that the method is real.

What Percoro demonstrates

Percoro is a live, production-grade platform built by Charles Advisory Group LLC. It is the proof asset behind the advisory practice, demonstrating end-to-end AI-native execution under real engineering discipline.

What makes it the proof asset is not what it does — it is how it was built. Designed, built, governed, and deployed by a non-coding executive, solo, with AI as the only development partner. Every feature shipped under real build discipline: commit after exit 0, read before patch, verify before deciding.

Visit percoro.com
Technical stack
React + Next.js
Node.js / TypeScript
AWS Lambda + API Gateway
PostgreSQL on RDS
Amazon Bedrock (Claude)
Vercel
Resend
Self-hosted analytics
Technical summary — no sensitive implementation details shared publicly.

How it was built

A case study in end-to-end AI-native product execution — from concept to production.

01

Concept and product design

Percoro began as a question: can a non-coding executive ship a real, production-grade product using AI as the only development partner? The answer — and the method — became the foundation of the advisory practice.

02

Full-stack build with AI

React frontend, Node/TypeScript Lambda backend, PostgreSQL on RDS, deployed to AWS and Vercel. Every architectural decision made by a non-coding executive, with AI as the dev partner and a strict build discipline: commit after exit 0, read before patch, root cause over symptom.

03

Privacy and legal readiness

Legal docs CMS, DOB gate, dual-checkbox consent, atomic consent recording, DMCA agent registration, and a full suite of public-facing legal documents — built in from day one, not bolted on.

04

Analytics and measurement

Self-hosted, privacy-friendly analytics — off by default until consent, three-option cookie banner, and an admin Site Analytics dashboard.

05

Account lifecycle and AI features

Early Access flow, onboarding, per-feature AI consent gating (fail-closed), AI Trip Planner, Bedrock vision analysis, and a full admin dashboard with 8+ tabs — including a Financial Management view tracking LLM cost and MRR.

06

Deployment and operations

Incident-driven security rules: secrets never echoed, /32 security groups, RDS credential rotation protocol. CI build before push. Feature flags for safe rollout. Everything auditable.

See the compliance workflow in action

This is a real capability built into Percoro — an end-to-end abuse-reporting workflow with AI embedded at every step. 100% client-side simulation, no real data.

Interactive demo — example workflow

Trust & Safety, end to end
AI embedded in a compliance workflow

Every business has obligations. Most track them by hand.

Embed AI into the workflow and the system enforces the rule, the human makes the call, and nothing slips. Here's one working example — a trust-&-safety pipeline, end to end.

GDPR
COPPA
§2258A
EU DSA
HIPAA
SOC 2
SLAs
Examples only — yours will differ.

The method is teachable.

What you just saw — a real compliance workflow with AI embedded end-to-end — is what we help organizations build. Request an advisory session to discuss yours.