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// Section 01 · Overview
Trillion Initiative
Industrial engineering for the agentic economy. Validated by profit, not promise.
// The Math

100 founders × 100 roads to €100M = €1T

Equip 100 founders. Each sparks 100 roads to €100M. That's the target — the reason we call it the Trillion Initiative.

// Status Snapshot
Augedo ARR
~€100K+
Low hundreds K · operational
Investments Done
3
+2 incoming this month
Network Pool
~10
Founders in active pipeline
2026 OKR
€100K
TI recurring revenue target
// Energy Allocation
90%
Augedo — building the proof. Revenue validates the thesis.
10%
TI — publishing insights, backing founders, steering trajectory.
// Core Advantage
Ed's Edge

Understands technology faster than most people — especially valuable in the AI transition. This speed of comprehension, combined with full AI-first operations from a phone, enables a life most people believe requires either money or an office. It requires neither.

Proof: Every company reached €100K ARR fast. Currently working from Patagonia. No vacation needed. Location-independent by design.

// Guiding Principles

Market development > product. Product is easy now. You can build anything fast. But market development is the biggest risk and the slowest. Always start there.

Parallel shots, not sequential bets. Run all 4 groups simultaneously with AI leverage. Multiple market development tracks at once — wait times and buying decisions favour this.

Multiplier effect. Everything Ed does should amplify TI. Every race, every build, every conversation — all signal.

// Section 02 · Groups
The 4 Groups
The highest layer of the TI framework. Everything — revenue model, content, Agent School, deal structure — flows from which group you're addressing.
1
// Group 01
Motivated Turn-Arounders
Leaders of existing companies who genuinely believe AI will change everything in their industry — and have the courage to push through even when the first struggles hit. They don't just agree AI matters; they act before it's comfortable. They share Ed's core belief: the transition is real, it's now, and the window is narrow.
Key signal: They push through the first obstacles rather than waiting for certainty. Not tourists — they're committed to transformation even when it's hard.
ModelAI Scaling Support — referral / retainer
Why inspiringReal industries, real friction — winning here proves the model
StatusSeveral in network
TimelineMedium-term — relationship-driven, not transactional
EnergyMid
2
// Group 02
AI Builders & Seekers
High-energy people — often young — with strong hustle and technical capability, but low market understanding. They know how to build. They don't know how to find the right market, validate a niche, or reach their first €100K ARR. Many have rough ideas but still vague. They need someone to help them get concrete.
Several from Ed's university lecturing cohort. Deal: "I bring you to €100K. We figure it out together. Revenue-share kicks in when we get there — then I earn something to fund TI again."
ModelRevenue-share co-founding — 8% gross until €35K cap
DealYou keep equity. If you raise, I invest at 20% discount.
StatusPotentials identified
TimelineFastest path to TI revenue
EnergyHigh
3
// Group 03
Scalers
Already proven something — hundreds of thousands in revenue — and want to scale. They've passed the validation test. The question is no longer "will this work?" but "how fast and how big?" Pure investment case: capital, network, and strategic leverage to accelerate what's already working.
StudyFlash (€7M) is the proof this group works. The goal: identify 2–5 more in this range and invest before they get expensive.
ModelInvestment + portfolio return (equity)
StatusActive · 3 live · 2 incoming
Target10 investments total — 5 secured
TimelineLong-term — 5–10yr return horizon
EnergyMid-High
4
// Group 04
Endurance People
Love endurance — no matter the terrain, whether it's running or business — and do both simultaneously. Wired like Ed: find meaning in suffering, embrace delayed gratification, operate with stoic minimalism, understand that freedom comes from discipline. Not one or the other. Both.
The inspiration isn't the outcome — it's how Ed lives every day. Patagonia + ultras + glacier expeditions + full work from phone. That daily life is the proof and the product.
ModelCommunity + Agent School + @ed.endures content
Proof€200K = enough. AI-first from phone. Location-independent. No vacation.
StatusAudience building
Channel@ed.endures · runs.trillion-initiative.com
EnergyBuilding
// Section 03 · Investments
Portfolio
Active investments in the TI network. Target: 10 total. Current: 3 active, 2 incoming.
Company Vertical Revenue Group Status
StudyFlash Ed-Tech ~€7M Scalers Active
Upriver.ai SEO / Content ~€200K Scalers Active
Minimist Productivity <€100K Scalers Active · Early
Investment 4 TBD TBD Incoming
Investment 5 TBD TBD Incoming
Progress to 10 Investments
3 active · 2 pending · 5 remaining to target
// Section 04 · Revenue
Revenue Model
Three horizons. 2026 OKR: €100K TI recurring revenue — independent from Augedo operations.
// Three Horizons
Short-term
Agent School
4-day bootcamp → "I can build anything." Already live and tested at IMC Krems university. Scalable without Ed in the room.
TargetAll 4 groups + portfolio companies
HookAI Act compliance + personal upskilling → B2B license
MotionFreemium personal → internal champion → company license
StatusMVP live
Mid-term
Revenue-Share Co-Founding
Help AI Builders reach €100K ARR. No equity upfront. Structured deal — aligned incentives, no cap table complexity for the founder.
TargetGroup 2 — AI Builders & Seekers
Rate8% of gross revenue after reaching €100K ARR
Cap€35K total payout
OptionPro-rata investment right at 20% discount on future rounds
ReportingMonthly self-reported · annual financial report as fallback
Mid-term
AI Scaling Support
Support Motivated Turn-Arounders in actually deploying AI in their operations — not just talking about it. People already recommend Ed for this.
TargetGroup 1 — Motivated Turn-Arounders
ModelReferral / retainer basis
StatusInbound already happening organically
Long-term
Investment Returns
The long game. 5–10 year return horizon. StudyFlash at €7M is early proof the model works. Build to 10 investments, let compounding do its work.
TargetGroup 3 — Scalers
Horizon5–10 years
ProofStudyFlash ~€7M · Upriver growing · Minimist early
Target10 investments total
2026 OKR
€100K
TI recurring revenue by end of 2026.
That's €8K/month — enough to fund life and new investments independently from Augedo. Makes TI structurally self-sustaining.
// Section 05 · Protocols
The Protocols
Operator manuals for the agentic economy. The intellectual foundation behind TI.
Protocol 001
The Thesis
"General AI is a commodity. Vertical Integration is the only moat."
Horizontal AI — mile wide, inch deep — equals commodity with no moat. Vertical Integration — inch wide, mile deep — equals moat. The giants of the next wave won't win on general intelligence. They'll win on specific context, specific workflows, and specific outcomes.
Protocol 002
Vertical AI Defensibility
"Sell Output × Own Action × Capture Feedback = Unassailable Position."
Three layers of moat:
1
Sell the Output — capture the value of the labor, not just the tool. Economic moat.
2
Own the Action — embed deeply into workflows to verify results. Integration moat.
3
Capture the Feedback — build the only dataset that links Input to Verified Outcome. Data moat.
Protocol 003
The Airlock
"Never let the raw LLM touch the client."
The User sees no difference — same input, same quality output. The Operator evolves behind the Airlock: human at first, increasingly agentic. Provider margin grows as agentic share grows. The client never feels the transition. This is the model for scaling without quality degradation.
Protocol 004
The 7-Day Arbitrage
"Validation before code. The step-by-step checklist to verify unit economics."
Seven steps. No code until day 5.
1
Identify the Gap — high manual cost, willing buyers. Target: min 5× spread.
2
Manual Validation — sell the outcome to 3 real customers. Target: >50% conversion.
3
Unit Economics — calculate true cost: time + tools + edge cases. Target: >70% margin.
4
Document the Airlock — define input requirements and output guarantees.
5
Build the MVP — minimal automation, maximum outcome delivery.
6
Stress Test — 10 real jobs. Document all failure modes. Target: >90% success.
7
Scale Decision — Go / No-Go based on validated metrics.
// Section 06 · Upskilling
Agent School
Two distinct products. Same mission: close the human-agent collaboration gap.
// Product 1 — Human-Agent Collaboration Trainer
Status: MVP Live
Agent School App
agent-school.trillion-initiative.com ↗
A self-paced digital trainer that teaches people how to collaborate effectively with AI agents. Real-world situations, personal profile, and a certificate — relevant for AI Act compliance. Can run without Ed. Scalable.
22 Situations
Certificate
EU AI Act
Scalable
All 4 Groups
Universal entry point — anyone in the TI ecosystem can start here.
Portfolio Companies
Upsell to their own customers — instant distribution, no cold sales.
AI Act Compliance
Regulatory demand driver. Certificate = documented proof of training.
PLG Motion
Freemium personal → internal champion → company license.
// Product 2 — The 4-Day Bootcamp
Status: Proven · Offer to be defined
AI Builder Bootcamp
An intensive 4-day program that takes people from zero AI knowledge to building their own agents and workflows. The core outcome: participants leave knowing they can build anything — the mental barrier is gone. Developed and delivered at IMC Krems university with strong references from that cohort.
4 Days
0→1 Knowledge Arc
References
Live Format
Turn-Arounders (Gr. 1)
Upskill existing teams before or during AI transformation — gives the team the foundation to actually execute.
Builders (Gr. 2)
Fast-tracks young founders to the point where they can build anything — then the focus shifts to market.
Universities
Already validated at IMC Krems. Strong references available. Repeatable for other institutions.
Corporates
In-house format for teams that need hands-on AI capability fast, not another slide deck.
Next Step

Define the offer: pricing, format (remote vs. in-person), and the go-to-market motion. The university reference + outcome ("you can build anything") is the proof. Needs to be packaged as a sellable product.