Interactive Tech Trees

Founder & Architecture Roadmaps

Visual, milestone-driven paths to build reliable production AI agents and launch sustainable micro-SaaS products. Click any milestone to dive into the connected lesson.

AI Agents Track 4 Phases • 9 Milestones

The Autonomous AI Agent Architect Roadmap

From strict tool execution to production-grade evals, guardrails, and CI/CD verification.

Phase 01

Deterministic Foundations

Prerequisite

Core Concept Explore ›

1. When to Use Agents vs Code

The decision framework to avoid over-engineering non-deterministic workflows when deterministic code is better.

Essential Explore ›

2. Strict Tool Schemas & Typing

Define JSON Schemas, Pydantic models, and error handling for dependable LLM function calls.

Phase 02

State & Memory Loops

Architecture

Pattern Explore ›

3. ReAct & Plan-and-Solve Loops

Orchestrating reasoning cycles, action dispatch, and state machines with explicit limits.

Efficiency Explore ›

4. Context Windows & Memory Compaction

Sliding window compaction, semantic vector retrieval, and long-term state persistence without token bloat.

Phase 03

Production Safety & Guardrails

Reliability

Safety Explore ›

5. Bounded Agent Constraints

Prevent infinite reasoning loops, enforce cost ceilings, and implement circuit breakers.

Defense Explore ›

6. Input & Output Guardrails

Prompt injection sanitization, schema validation on responses, and hallucination tripwires.

Escalation Explore ›

7. Human-in-the-Loop Interrupts

Gracefully pausing execution for manual approval on high-consequence operations (write, delete, pay).

Phase 04

Evals & CI/CD Verification

Production

Testing Explore ›

8. Golden Datasets for Evals

Building realistic evaluation benchmark cases to measure reasoning accuracy deterministically.

CI/CD Explore ›

9. Regression Testing in CI

Automated GitHub Actions evals preventing prompt regression before shipping updates.

SaaS Founder Track 4 Phases • 8 Milestones

The Zero to $1,000 MRR Micro-SaaS Roadmap

Validate without building, secure paid commitments, and build a lean profitable business.

Phase 01

Problem Discovery

Validation

Discovery Explore ›

1. Validating Hair-on-Fire Problems

Differentiating nice-to-have vitamin ideas from mission-critical pain points people pay to solve.

Interviews Explore ›

2. The Mom Test: Non-Biased Interviews

Asking the right questions about past customer behavior rather than hypothetical future praise.

Phase 02

Validation Before Code

Commitment

Smoke Test Explore ›

3. Landing Page Smoke Tests

Testing value proposition copy, intent click-through rates, and cold conversion before touching an IDE.

Contract Explore ›

4. Paid Pilot Agreements

Drafting single-page paid pilot LOIs (Letters of Intent) that lock in design partners with financial skin in the game.

Phase 03

The Minimum Viable Slice

Build

Execution Explore ›

5. High-Velocity Pilot Feedback

Weekly syncs with your 3-5 pilot customers to measure daily active usage and resolve friction blockers.

Phase 04

Conversion & Initial MRR

Monetize

Revenue Explore ›

6. Converting Pilots to Subscriptions

Smooth transition from trial/pilot status to standard recurring MRR with grandfathered early-adopter tiers.