§01 — The Build

From a single Supabase project to a 40-agent AI operating system.

Three months of building an intelligence layer for a 150-person CDMO. Every agent, every pipeline, every decision — documented.

§02 — By the numbers

Built from scratch. Live in production.

Every metric below is a real, queryable, in-production number from the MADE AI OS as of May 7, 2026.

40
AI Agents
6
Supabase Databases
30
Cron Jobs (launchd)
35
Active Projects
18
Edge Functions
295K
RAG Chunks Indexed
51
Competitor SSO Matrix Rows
80
State Bills Tracked
14.4K
Companies Profiled
228K
Contacts Enriched

§03 — Platform tour

The capability surface. Purpose-built for MADE's workflow.

Every system below was scoped, designed, and shipped between February and May 2026.

madescientificai.com

Reporting & Intelligence Hub

Client-facing reporting dashboards, competitive intel SSO matrix, market segments, pipeline analytics. Design system v0.1.1.

madeaisandbox.lovable.app/madeai

AI OS Cockpit

Build Tracker, Eyes (launchd health), Fleet (40-agent roster), Skills lifecycle, Second Brain RAG interface, Learning Library.

30 launchd agents

Autonomous Agent Fleet

Email triage (3-tier cascade), contact briefs, SFDC sync, Monday sync, news intelligence, health pulse, dream cycle, report generation.

PROJ-017 RAG

Enterprise Knowledge Graph

295K chunks across personnel, contracts, SOPs, research papers. Voyage 1024d embeddings, IVFFlat index, hybrid search (95ms p50).

PROJ-021

Competitive Intelligence System

21 competitors profiled, 51 sites mapped, positioning counter-stances, A+ scored messaging matrix, battle cards by tier.

PROJ-034

State Legislation Tracker

80 bills across 39 states. MADE manufacturing-relevance scoring. 16 HIGH-impact bills flagged for legal/BD action.

PROJ-P_024 + P_030

Executive Intelligence Pipeline

Three-tier email triage → priority inbox → CEO Daily + ELT Weekly reports. Automated PDF generation + Supabase Storage upload.

PROJ-033

Skills Lifecycle Platform

AI-generated SKILL.md files, auto-committed to GitHub. Gap backlog, scaffold pipeline, invocation telemetry, evaluation framework.

§04 — Where we stand

Where we are, said plainly.

What's Working

  • 40 agents running autonomously via launchd — 24/7 coverage, <3% failure rate
  • Three-tier email triage saves 32% on AI costs with zero signal loss
  • RAG brain answers domain questions with 95ms hybrid search
  • CEO Daily and ELT Weekly reports auto-generate every morning
  • Competitive intel: 21 competitors profiled, 51-row A+ messaging matrix
  • Design system extracted, versioned, consumed by 2 production apps
  • Skills auto-scaffold from gap backlog → GitHub → production

What Needs Attention

  • Hold-out validator not yet live (sycophancy defense) — Phase 1 spike planned
  • RAG freshness varies — some corpora >30 days stale
  • Agent telemetry coverage: 25% of fleet (10/40 have eval datasets)
  • Cost visibility incomplete — per-agent cost tracking not deployed
  • Fellow.ai API key needs Vault storage (currently exposed in chat)

§05 — Next phase

Month 4. The hardening plan.

Shifting from build velocity to operational maturity.

From AI OS Platform

  • Deploy hold-out validator on email insights pipeline
  • Complete eval datasets for Bucket 2 agents (RALPH, MADE BRAIN)
  • Per-agent cost telemetry via Skills invocation table
  • RAG freshness cron (weekly re-ingest for stale corpora)
  • Legislation Tracker Lovable app (Phase 4)

From MADE Scientific

  • Populate 5 eval reference datasets (human-labeled ground truth)
  • Validate CDMO Cost Forecaster inputs (PROJ-027 unblock)
  • Confirm Fellow.ai vs Fireflies decision (ADR-0005)
  • Review state legislation executive briefing with legal

§06 — Beyond 90 Days

The capability surface beyond Month 4.

Autonomous AI Sales Agent

Agent that researches prospects, drafts personalized outreach, schedules follow-ups, and updates CRM — end-to-end.

MADE Brain v2 (Agentic RAG)

Multi-hop reasoning over 295K chunks with tool-use. Query decomposition, citation verification, confidence scoring.

Demand-Capacity Forecasting

ML model predicting cleanroom utilization 90 days out. Integrates SFDC pipeline + production schedule + historical yields.

Client Portal

Client-facing dashboard showing batch status, COA documents, deviation reports, timeline updates. Real-time from LIMS/MES.

Voice Agents

Inbound phone triage + outbound discovery calls. Deepgram STT → Claude reasoning → ElevenLabs TTS. CRM auto-update.

Regulatory Intelligence

FDA guidance tracker, 483 observation patterns, CBER/CDER submission intelligence. Auto-alerts on relevant changes.

§07 — Closing

Three months in, here's where I land.

This isn't a demo. It's the actual operating system running MADE's AI infrastructure — 40 agents, 6 databases, 30 automated jobs, all built in 90 days by one person with AI pair programming. The velocity is real. The next phase is about durability: eval coverage, cost controls, and operational maturity. The foundation is solid.