AI-native companies that own wallets, hire humans, deploy capital, and evolve autonomously.
Autonomous Economic Organisms (AEOs) represent the next evolutionary leap beyond DAOs, beyond automation, beyond AI assistants. An AEO is a fully self-sustaining economic entity powered by an LLM Council, Autonomous Treasury, Smart Contract Governance, Swarm Agent Workforce, and Reputation Consensus Layer.
Where traditional companies need human operators at every decision node, an AEO operates continuously — sourcing talent, deploying capital, running campaigns, managing supply chains, and evolving its own strategy based on economic feedback loops. Humans become collaborators, governors, and creative directors — not operators.
This framework gives you the complete architecture: the prompt systems, agent orchestration patterns, governance structures, treasury management logic, and swarm coordination protocols needed to design and deploy an AEO from first principles.
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All 72 prompts · All 8 modules
"The most forward-thinking framework I have encountered. The LLM Council deliberation system alone is..."
Dr. Aria Voss · AI Systems Architect
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This is frontier architecture. Use Claude Opus for reasoning-heavy stages and GPT-4 for system design stages. Each stage output feeds the next — maintain a running architecture.md document throughout. Final stage builds in Airo.
Experimental Framework — Frontier Architecture
This is a Genius-tier framework. It operates at the frontier of what is currently buildable. Some components are speculative architecture — designed for teams building 2–5 years ahead of the market. Use the prompts to design, prototype, and simulate before committing to full deployment.
Purchase & download the framework
Click the buy button on this page. After checkout, go to the and hit Download .zip. You will get a .md file (all 72 prompts) and a .pdf reference architecture guide. This is dense material — read the PDF in full before running any prompts.
Run Stage 1 in Claude — define your architecture charter
Open the and filter to Stage 1. Run these prompts in Claude (Opus recommended for this tier). Fill every [BRACKET] with your specific context. Stage 1 produces your architecture charter — the foundational document that all subsequent stages build on. Do not skip or rush this step.
Work through Stages 2–7 sequentially — each stage feeds the next
Unlike standard frameworks, Genius-tier stages have hard dependencies. The output of each stage becomes the input context for the next. Keep a running architecture.md document and paste the relevant outputs into each new prompt. Alternate between Claude (for reasoning-heavy stages) and GPT-4 (for system design and schema stages) as indicated in each prompt.
LLM Council Constitution
Go to the , filter to Stage 1, and run each prompt with your accumulated context. Output feeds directly into Stage 2.
Treasury Architecture + Wallet Structure
Go to the , filter to Stage 2, and run each prompt with your accumulated context. Output feeds directly into Stage 3.
Smart Contract Governance Layer
Go to the , filter to Stage 3, and run each prompt with your accumulated context. Output feeds directly into Stage 4.
Swarm Agent Workforce Design
Go to the , filter to Stage 4, and run each prompt with your accumulated context. Output feeds directly into Stage 5.
Reputation Consensus System
Go to the , filter to Stage 5, and run each prompt with your accumulated context. Output feeds directly into Stage 6.
Autonomous Marketing Engine
Go to the , filter to Stage 6, and run each prompt with your accumulated context. Output feeds directly into Stage 7.
Supply Chain Autonomy Layer
Go to the , filter to Stage 7, and run each prompt with your accumulated context. Output feeds directly into Stage 8.
Final Stage — Build the control dashboard in Airo
Go to the and copy the Airo Orchestrator Prompt. Open Airo, start a new project, and paste it into the chat. It will scaffold your complete control dashboard — connecting all the architecture layers you designed in the previous stages into a single operational interface.
8 modules · 72 prompts · 8 workflow stages
LLM Council Architecture
Multi-model deliberation system where specialized AI agents vote, debate, and reach consensus on strategic decisions.
9 promptsAutonomous Treasury System
Wallet ownership, capital allocation rules, revenue routing, and autonomous investment decision protocols.
10 promptsSmart Contract Governance Layer
On-chain enforcement of AEO decisions — proposal creation, voting mechanics, execution triggers, and veto logic.
9 promptsSwarm Agent Workforce
Autonomous hiring protocols, task decomposition and routing, contributor payment systems, and performance evaluation.
11 promptsReputation Consensus Layer
Trust scoring, contribution history, reputation staking, and adversarial agent detection protocols.
8 promptsAutonomous Marketing Engine
Self-running campaign generation, audience targeting, budget allocation, and performance optimization loops.
9 promptsSupply Chain Autonomy
Supplier discovery, contract negotiation, order routing, quality verification, and exception handling — all autonomous.
8 promptsSelf-Forking Subsidiary Protocol
AEO replication architecture — how an AEO spawns specialized subsidiaries, allocates seed capital, and governs the parent-child relationship.
8 promptsI'm building an Autonomous Economic Organism for a B2B SaaS infrastructure company. The AEO will own its own revenue, hire contractors autonomously, and operate without a human CEO. Here is the full charter: Mission: Provide AI-powered API monitoring infrastructure to developer teams. Generate revenue through usage-based pricing. Reinvest autonomously into product development and sales agent hiring. Revenue model: $0.004 per API call monitored. Target $80k MRR within 18 months. No equity, no investors — self-funded from day one. LLM Council composition I want: - Chief Strategy Agent: long-horizon competitive positioning, market expansion decisions - Operations Agent: execution feasibility, contractor task routing, deadline enforcement - Risk Agent: downside scenarios, adversarial inputs, contract risk assessment - Treasury Agent: capital allocation, wallet rebalancing, investment criteria - Ethics Agent: regulatory alignment, contractor fairness, reputational risk flags Deliberation rules: routine decisions under $500 auto-approved by Operations Agent alone. Decisions $500–$10k require majority council vote. Decisions above $10k or any new asset class require supermajority plus human governor acknowledgment. Deadlock resolved by Risk Agent casting deciding vote. Human governor role: emergency pause authority, veto on decisions above $50k, weekly health report review only. No day-to-day involvement. Please produce: the full AEO constitution document, deliberation prompt templates for each of the five council agent roles, the JSON schema for proposal and decision records, and the deadlock resolution protocol.
My AEO (B2B API monitoring SaaS, target $80k MRR) needs its full treasury system designed. The treasury must operate without human approval for all routine and standard capital decisions. Wallet structure I want: - Operating wallet: covers recurring infrastructure costs, contractor payments, marketing spend - Reserve wallet: locked at 6-month runway minimum, auto-topped from revenue routing - Investment wallet: deploys into yield strategies and strategic tooling acquisitions - Escrow wallet: holds contractor payments pending milestone verification - Emergency wallet: multisig with two human governors, crisis response only Revenue routing on each payment received: 45% operating, 30% reserve, 20% investment, 5% escrow buffer. Spending authorization tiers: - Auto-approved: recurring SaaS subscriptions, contractor invoices under $500, infrastructure scaling events - Council majority vote: new vendor contracts, single payments $500–$10k, new hiring pipeline activations - Human governor approval required: any payment above $10k, new asset classes, emergency wallet draws Investment criteria for the investment wallet: minimum 8% annualized yield, no single position above 25% of wallet balance, exit trigger if position drops 15% from entry. Transparency requirements: every transaction logged on-chain with category tag, approval tier, and agent ID that authorized it. Public dashboard showing wallet balances and 30-day capital flow. Governor alert fired if reserve wallet drops below 4-month runway. Please produce: the complete treasury ruleset as a structured decision tree, smart contract pseudocode for spending enforcement, the on-chain transaction log schema, and the governor alert threshold configuration.
My AEO needs its autonomous workforce system. The AEO operates in B2B API monitoring SaaS. It needs to hire, manage, pay, and performance-review contractors without a human HR function. Roles the AEO needs to fill autonomously: - Backend engineers (Node.js, Go) for feature development — milestone-based contracts - Technical writers for documentation and onboarding content — per-deliverable contracts - Growth agents for outbound sales sequences — commission + base hybrid - QA specialists for release verification — per-release contracts Hiring pipeline I want: - Task decomposition: AEO breaks a product goal into atomic tasks, generates job descriptions automatically - Sourcing: query Upwork API, GitHub profiles, and a curated internal talent pool - Screening: automated scoring rubric (skills match, past project relevance, response quality on trial task) - Trial task: paid $150 micro-task, evaluated by Operations Agent against defined acceptance criteria - Offer: smart contract employment terms generated automatically on trial pass Task routing logic: Operations Agent decomposes incoming goals, matches atomic tasks to contractor skill profiles, assigns with deadline, monitors progress via daily status check-in prompt. Payment system: milestone-based releases from escrow wallet. Quality gate verification by Operations Agent before each release. Dispute escalation to full Council vote if contractor contests rejection. Performance management: each contractor gets a reputation score updated after every deliverable. Score below 70 triggers a performance improvement task. Score below 55 after two consecutive deliverables triggers contract termination and blacklist flag. Please produce: the complete hiring system prompt library for each pipeline stage, the contractor reputation scoring rubric, smart contract templates for milestone-based employment agreements, and the task decomposition algorithm the Operations Agent will use.
architecture
26 prompts
system
18 prompts
workflow
28 prompts
"The most forward-thinking framework I have encountered. The LLM Council deliberation system alone is worth the price — it solves multi-agent consensus in a way I have not seen documented anywhere else."
Dr. Aria Voss
AI Systems Architect
"We used the AEO framework to redesign our entire DAO governance structure. The Reputation Consensus Layer replaced our token-voting system and eliminated whale manipulation overnight."
Marcus Chen
Web3 Protocol Founder
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