Go from idea
to structured system
in 48-72 hours.
Before you write one line of code - know exactly what to build, how the system works, and what to do first.
$20k+
Avg waste prevented per engagement
99.22%
Production success rate - real system
48h
Idea to full blueprint
6
AI systems designed and shipped
Stack I design with
You have the idea.
The system is not designed yet.
I started building - but I'm not sure the system was designed right.
I'm worried I'll build the wrong thing and have to redo it.
I can't evaluate what developers tell me. I don't know if it's good or garbage.
Technical decisions feel opaque. I'm guessing at stack and architecture.
I'll spend months and money going in the wrong direction.
I need a blueprint, not another course or framework.
Phase 0 is a single, structured engagement that turns your idea into a system you can actually execute - before you write one line of code or hire one developer.
Five artifacts.
Zero ambiguity.
Architecture Diagram
Your system mapped visually. Every component, every boundary, every data flow. Annotated with decisions, not just boxes.
Stack Decision Doc
What to use and why. Database, LLM, framework, infra. Each choice includes trade-offs so you understand it, not just execute it.
I/O Specification
What goes in. What must come out. Golden examples of real queries and structured responses. The contract the system lives by.
Execution Roadmap
Phase 1 to MVP to Scale. What to build first, what to defer, and why. Sequenced for speed, not perfection.
45-min Walkthrough Call
I walk you through every decision. You ask questions. You leave knowing exactly what's next and why.
These are real Phase 0 diagrams.
Every arrow is a decision. Every box is a responsibility boundary. No two systems look the same - because no two problems are the same.
Inventory Intelligence AI - Query flow, semantic memory, structured outputs. Fashion operations, Los Angeles.
Decision Intelligence Pipeline - Multi-agent runtime, factual memory, RAG, risk and trade-off layer. Confidential client.
Dual Inference - Legal AI production system. Semantic similarity scoring, HITL threshold, confidence-based routing. Brazil.
Eval-Driven LLM System in Production - Prompt versioning, golden dataset, regression tests, metrics feedback loop.
Design decisions compound.
This is what happens when a system is designed with eval-driven iteration from the start. Accuracy went from 50% to 86.7% across 5 versions - because every decision was traceable.
Version comparison report - v1.0 to v1.5: 50% to 86.7% accuracy. Legal AI, production system.
Accuracy vs confidence evolution across model versions - Braintrust eval pipeline. Accuracy climbs from 50% to 86.67% while confidence stabilizes.
Braintrust experiment dashboard - gpt-4o vs gpt-3.5 across 4 experiment versions. Accuracy, confidence, latency, cost, valid JSON rate.
A real walkthrough.
Walkthrough video - coming soon.
I'll walk through a real Phase 0 diagram, artifact by artifact.
Same methodology.
Different worlds.
Sena - AI Coaching MVP
South Africa
A virtual coach for structured coaching sessions. Architecture: WhatsApp input, Node.js backend, GPT-3.5, PostgreSQL, session and stage management.
NexTrial - Clinical AI Agent
United States
A clinical reasoning agent for primary healthcare. Architecture: LangChain, local LLM (Llama 3), pgvector RAG, LGPD-compliant encrypted PostgreSQL.
Legal AI - Production System
Brazil
3,000+ court notifications processed for 14 lawyers over 5 months. 99.22% success rate, $0.11/lawyer/month, 900h+ manual work eliminated. Dual LLM inference, semantic similarity scoring, eval-driven prompt versioning (50% to 86.7% accuracy).
TQH Inventory AI
Los Angeles, USA
An inventory decision assistant for a fashion brand. Architecture: TypeScript/Express backend, PostgreSQL, pgvector RAG, OpenAI Structured Outputs, SSE streaming.
HR Benefits AI
New York, USA
Benefits recommendation engine. Deterministic calculation core (no LLM for numbers), LLM layer for plain-language explanations only, HITL confidence threshold for PDF extraction, versioned rule engine for tax regulations.
Grading AI
San Francisco, USA
AI grading system for a YC-backed edtech company. Eval-driven pipeline, rubric-grounded structured outputs, confidence scoring per criterion, human review escalation layer.
From people who saw the work.
“ok so... i've been trying to explain our system to my cofounder for like 3 weeks and nothing worked. pedro drew it in one session and she got it immediately lol. actually kind of embarrassing how simple it looked once it was on paper”
Co-founder
Stealth AI startup
“i was scared it would be too technical for me tbh. it wasn't. he asked the right questions, i answered, and at the end i had a doc i could actually show investors and my dev team. worth every cent of the $500”
Founder
HR tech startup
$500. Fixed price.
48-72 hours.
One engagement. No retainer. No surprise scope. You send the idea, I structure the system, we walk through it together.
2 spots available per week.
$500
fixed · no surprises
How it works
You send your idea
WhatsApp or email. Tell me what you want to build.
30-min discovery call
I ask the questions you haven't thought of yet.
I work for 48 hours
Architecture, decisions, spec, roadmap.
You receive the full package
Diagram + docs. Everything annotated.
45-min walkthrough call
We go through every decision together. You leave with clarity.
Phase 0 gave you the blueprint.
Build With Me is where we execute it.
12 weeks. 2 hours live per week. We build your AI product together — and you leave capable of driving it without depending on anyone. Your repo. Your PRs. Your product on Day 84.
$2,500 · 12 weeks · fixed
Stop building in the dark.
Send me the idea. In 48-72 hours, you'll know exactly what to build and how to execute it.
© 2026 Pedro Brandão LTDA · hi@pdrobrandao.com
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