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Founding an AGI Startup:
The Complete 12-Part Series

A standalone, step-by-step founder-playbook simulation — idea to legal structure to team to capital to infrastructure to product to research to marketing to sales to scaling to survival to the real numbers underneath all of it. Every step run three-lanes-deep: frontier scale-first, applied/agentic layer, and narrow research bet.

FL
FrontierAGI Team
Series index · Updated September 9, 2026
Startups Founder Playbook Simulation
How to use this page. Read in order for the full arc — each article builds on assumptions and case studies from the ones before it. Every part after Part 1 runs the same step across all three strategic lanes in parallel, so you can also jump to any single part if you just need that step's guidance for your specific lane.
🔴 Lane 1: Frontier Scale-First 🔵 Lane 2: Applied / Agentic Layer ⚪ Lane 3: Narrow Research Bet
📖 The Full Series
Twelve articles, one continuous simulation — click any part to read it.
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Part 1 — Finding the Idea & Choosing Your Lane
The three fundamentally different businesses hiding under "AGI startup," a real validation framework, and a Thinking Machines Lab case study.
22 min →
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Part 2 — Legal Foundations
Entity structure, IP, jurisdiction, cap tables — plus an India-specific path and a reality check on when you actually need any of it.
30 min →
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Part 3 — The Founding Team
Co-founder selection, early hires, equity splits, a role-by-role team structure table, and Anthropic's seven-founder equity case study.
29 min →
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Part 4 — Seed Capital
Pitching, valuation, and term sheets with real 2026 fundraising data, plus Thinking Machines' record-setting seed round.
28 min →
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Part 5 — Office, Ops & Infrastructure
Compute procurement, startup credit programs, tooling, and remote vs. in-person — with real GPU pricing and a ~10x provider spread.
26 min →
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Part 6 — Building the Product
The prompt-then-RAG-then-fine-tune-then-distill escalation ladder and real 2026 MVP cost benchmarks.
27 min →
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Part 7 — The Research Function
Building R&D culture on a startup budget, with DeepSeek's ~160-person team as a lean-research case study.
26 min →
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Part 8 — Go-to-Market & Marketing
Positioning in a crowded field, plus Perplexity's multi-channel growth engine from 10M to 159M monthly users.
27 min →
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Part 9 — Sales & Early Customers
From first deal to repeatable revenue, with real sales-cycle benchmarks and why "landing" is easier than "staying."
27 min →
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Part 10 — Scaling & Series A
The real 2026 Series A bar ($3.5M ARR, sub-1.2x burn multiple, 120%+ NRR) and Anysphere/Cursor's efficient hyper-growth.
27 min →
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Part 11 — Surviving the Market (Finale)
Real 2026 failure data, what actually kills companies per lane, and the moat question tying the whole series together.
28 min →
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Part 12 — Financial Modeling Bonus
Balance sheets, real pricing decisions, and 1/3/5-year forecasts by lane, closing the loop on the whole series.
29 min →
🧭 What This Series Covers
🎯 The Three-Lane Framework
Every step after Part 1 is organized around three genuinely different businesses — not variations on one — so the guidance stays specific rather than generic.
📊 Real 2026 Data Throughout
Every article is grounded in sourced figures — funding rounds, GPU pricing, sales-cycle benchmarks, gross margins — not generic startup advice.
🏛️ Real Company Case Studies
Anthropic, Thinking Machines Lab, DeepSeek, Perplexity, Cognition, and Anysphere/Cursor each anchor at least one article's central lesson.