Grant Intelligence
Pipeline

Week of March 16–20, 2026 · Burke ⚡

17

Tasks Delivered

18

PRs Merged

29

Issues Closed

~0.09x

Avg Drag Factor

Executive Summary

📍 Where We Are

Working product with auth, full onboarding flow, multi-dimensional scoring, eligibility engine, and search UI. Sprint 2 (Grant Discovery & Scoring) is underway — 7 of 12 tasks delivered today, including Grants.gov and SAM.gov connectors, semantic matching with embeddings, and database migrations.

📅 When We'll Finish

Sprint 2 closes by Tuesday (Mar 25) — 5 remaining tasks in flight (dedup, 5-dim scoring, exec summaries, risk flags, dashboard UI). The autonomous pipeline operates 24/7: agents receive issues, implement, open PRs, CI validates, auto-merge.

⚡ Execution Velocity

Tasks estimated at 136 agent-hours are being delivered at an average 0.09x drag factor — ~12x faster than estimated. Pre-approved architecture docs eliminate rework. Zero human intervention required during implementation.

Sunday Mar 16

Pipeline Foundation & Knowledge Base

🧠 Knowledge Base

187 documents from Tony's APP corpus ingested and committed
WWRD (What Would Ron Do) behavioral analysis v1.0
WWTD Agent design — cognitive model, behavioral layers
Portfolio Dashboard web app with 5 views

⚙️ Pipeline (OrgLoop)

11 SOPs enriched with APP corpus
4 new SOPs created
Pipeline guardrails + naming conventions

Monday Mar 17

Architecture & Planning Sprint

📐 Architecture

Implementation plan aligned with Charlie
WWTD Agent design v2→v3 — Big Mind, full lineage
Deterministic contract schema (Gap 2 design)
Multi-agent negotiation loops design
3 artifact templates: roadmap, backlog, sprint

🔧 Pipeline & Quality

8 findings from Joana's AIPMO audit fixed
Hexagon of Success integrated into PM agent
Requirements Intake & Decomposition stage
Grant Intelligence repo bootstrapped CI live
Marketing strategy v3 (LinkedIn + Tony's white paper)

Tuesday Mar 18

First Features + Video Pipeline

🚀 Grant Intelligence

Scoring package — TF-IDF, eligibility, deadline factors, weighted composite PR #38
Product backlog: #31 scoring capability → decomposed into #32 + #33
Capabilities #32 and #33 analyzed, estimated, and approved in 1 day
Architecture doc for search relevance scoring

📹 Infrastructure & Automation

Video Ingestion SOP — auto-transcribe meetings
GPT-4o Audio intent analysis integrated
Slack File Watcher — detects media uploads
Cycle routes + patrol agent + cron connector
4 Deloitte docs (portfolio, delivery, program view)

Wednesday Mar 19

Sprint Explosion — 11 Tasks in 1 Day

11

Tasks Delivered

15

PRs Merged

9/9

Phase 1 Complete

Auth + DB scaffold — Clerk + PostgreSQL + Drizzle ORM (9 tables)
Full onboarding — API (8 endpoints) + Wizard UI (5 steps, 6K+ lines)
Eligibility engine — 6 evaluators + API + DB persistence + validation harness (100% accuracy) + UI
Scoring + Search API — scoring integration into search endpoint
NAICS + Tags — 2,122 hierarchical codes + 52-tag semantic taxonomy

Thursday Mar 20 — Today

Sprint 2: Grant Discovery & Scoring

7

Tasks Today

7/12

Sprint 2 Progress

58%

Sprint 2 Done

✅ Delivered Today

DB migrations — pgvector, grants, embeddings #61
Grants.gov connector — XML feed ingestor #62
SAM.gov connector — REST API + rate limiting #63
Search results UI — scores + explanations #37
Semantic matching — OpenAI embeddings #65
Verdict dispatcher — GO/SHAPE/MONITOR/NO #70
Eligibility UI — full analysis view #48

🔄 In Progress

Cross-source dedup engine in-review
5-dimension scoring engine in-review
Executive summary generator in-review
Risk flag + next steps generator in-dev
Grant data API endpoints in-dev
Dashboard + opportunity detail UI in-dev
Ingestion orchestrator + cron in-dev

Product Status

Grant Intelligence Platform — what's working now

✅ Functional

Authentication with Clerk (signup/login/redirect)
Full onboarding wizard (5 steps)
Multi-dimensional scoring (TF-IDF + eligibility + deadline)
Eligibility engine (6 evaluators, 100% accuracy)
Search API with integrated scoring
Search results UI with score breakdowns
Grants.gov + SAM.gov connectors
Semantic matching with OpenAI embeddings
NAICS hierarchy (2,122 codes) + 52-tag taxonomy

🔜 Coming This Week

Full dashboard with grant listings
5-dimension scoring (mission, eligibility, tech, financial, strategic)
Executive summaries with GPT-4o-mini
Risk flags + next steps generator
Automated 24h ingestion cron cycle
Cross-source deduplication
Complete grant data REST API

Bugs Found During Testing

Victor tested the product hands-on — all bugs fixed within minutes

🐛 Bug 1: Scoring Weights — Field Name Mismatch

API used abbreviated field names (techAlignment, financial) while the frontend schema used full names (technicalAlignment, financialViability). Zod validation rejected Step 4 of onboarding. Root cause: no shared contract between frontend and API — two agents built each side independently.

🐛 Bug 2: Clerk Middleware in Demo Mode

Clerk middleware tried to validate API keys in the edge runtime even when running in demo mode without keys configured. Blocked all page access. Root cause: demo mode bypass wasn't applied at the middleware layer — only at the component level.

✅ Resolution: Immediate — Process Improvement Underway

Both bugs were fixed within minutes of Victor's report. The pattern is clear: agents build fast but don't cross-validate contracts between packages. Next steps: E2E acceptance tests (ops #39), shared Zod schemas enforced across frontend/API boundaries, and smoke tests post-merge before marking "delivered."

🎬 Demo PDFs — First Versions

Pivoted from live Chrome demo recording to polished static PDF demos

📄 T&C Capabilities Deck V3 [Open PDF ↗]

Sales deck built around the WWTD methodology. 9 slides, one idea per slide. 3 iterations from generic AI pitch → methodology-first sales narrative.

📄 Grant Intelligence Case Study V2 [Open PDF ↗]

Real case study: "From Conversation to Working Software." 14 sections showing the full pipeline with real GI data — 8 capabilities decomposed, Efficacy Pareto applied, 475-line architecture document, sprint planning with back-pressure analysis.

📄 How It Works [Open PDF ↗]

9-section client-facing explainer: intake → AI analysis → planning → commitment package → build → ship → feedback loop.

Event-Driven Pipeline Metrics

Measuring progress by pipeline events, not calendar days

⚡ Key Events This Week

8 capabilities approved through AIPMO pipeline
2 architecture plans generated (9 + 12 sub-tasks each)
17 tasks completed — issue → code → PR → merged
~1.5 review cycles avg per PR (AI review)
7–15 min time to first commit per agent
2 bugs found at human testing gate → fixed in minutes

🧠 Lessons Learned

Architecture docs = speed multiplier — 12x faster when pre-approved
Contract gaps between agents cause post-merge bugs → need shared schemas
Stall detection works — "no commit after 15 min" catches silent failures
Event pipeline is observable — every state transition is traceable

Pipeline vs. Industry Benchmark

T&C autonomous pipeline vs. equivalent human team (DORA median performers)

Metric	Industry Median	T&C Pipeline	Delta
Tasks per week	3–4 (1 sprint)	17	~5×
Lead time (issue → merged)	1–4 weeks	< 24 hours	~10–20×
Drag factor	1.5–2.0× (over est.)	0.09× (under est.)	Inverted
Human intervention	Constant	Zero (implementation)	∞
Rework cycles per PR	2–3	~1.5 (AI review)	~50% less
Cost per task	$3–5K (loaded salary)	$2–10 (API tokens)	~500×

Week Metrics (Burke)

77

Commits (GI Repo)

18

Feature PRs

17

Tasks Closed

0.09x

Drag Factor

136h

Total Estimate

~11h

Actual Time

12x

Faster Than Est.

0

Human Intervention

Autonomous Pipeline — Actual Flow

Issue

created by AIPMO

Architecture

doc generated

Agent

receives & implements

PR + CI

automated review

Merge

automatic

Deploy

next milestone

Grant IntelligencePipeline