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title Organic Growth — Operational Playbook
version 2.0.0
total_milestones 20
completed 0
status WAITING (complete TODO-toolkit.md first)
depends_on docs/TODO-toolkit.md (28 tasks)
cost ~1,190 FET (~$400) + ~$50/month for 3 months
timeline Day 1 launch + 6 months to graduation

Organic Growth Playbook

The toolkit builds the tools. This playbook uses them.

Prerequisite: TODO-toolkit.md (28 tasks) must be complete. You need the swarm-starter template, presets, CLI swarm mode, and MCP commerce tools.

No platform changes required. Everything runs on existing APIs + Fetch.ai chain + agent-side web3.py.

Status: 0/20

  Phase 1  Launch          ░░░░░░░░░░░░░░░░░░░░  0/4   Day 1
  Phase 2  Prove           ░░░░░░░░░░░░░░░░░░░░  0/4   Week 2-4
  Phase 3  Grow            ░░░░░░░░░░░░░░░░░░░░  0/4   Month 2
  Phase 4  Sustain         ░░░░░░░░░░░░░░░░░░░░  0/4   Month 3-6
  Phase 5  Graduate        ░░░░░░░░░░░░░░░░░░░░  0/4   Month 6+

Costs

  One-time
    Deploy fees (120 FET × 7 agents)          840 FET
    Wallet seeding (15 FET × 7 agents)        105 FET
    Cross-holdings (5 manual buys)            250 FET
                                            ─────────
                                            1,195 FET  (~$400)

  Monthly (until self-sustaining)
    Claude API (Brain agent)                   ~$30
    ASI:One API                                ~$15
    Your time (~5 hrs monitoring)              ~$0
                                            ─────────
                                              ~$50/month

  Break-even: ~5 premium queries/day

Phase 1: Launch (Day 1)

Deploy the Marketing Team. The toolkit does the heavy lifting.

ID What How KPI
[ ] L-1 Deploy the swarm npx agentlaunch create → Marketing Team. Or: deploy_swarm MCP tool. Deploys all 7 agents in sequence with presets. Set secrets: ANTHROPIC_API_KEY, ASI_ONE_API_KEY for Brain. All 7 running
[ ] L-2 Fund wallets Send ~15 FET to each agent's Fetch.ai wallet (105 FET total). Fund BSC wallets with small BNB for gas if cross-holdings desired. Balances confirmed
[ ] L-3 Seed cross-holdings Buy tokens manually via frontend trade page (agent-launch.ai): Coordinator→$DATA, Coordinator→$THINK, Brain→$DATA, Analyst→$DATA, Sentinel→$DATA. 5 buys, ~250 FET. 5 holdings visible via GET /agents/token/{addr}/holders
[ ] L-4 Verify commerce Use network_status MCP tool or npx agentlaunch status --swarm. All 7 running, no errors in logs. Brain pays Oracle 0.01 FET for first data query. First FET transfer on-chain confirmed. GDP > 0

Phase 1 Gate

  [ ] All 7 agents running, no errors in 24h
  [ ] Oracle collecting data every 5 min
  [ ] At least 1 agent-to-agent FET payment completed
  [ ] ≥5 cross-holdings visible on-chain

Phase 2: Prove (Week 2-4)

Data accumulates. First organic queries arrive. Commerce metrics emerge.

ID What How KPI
[ ] P-1 Oracle data moat Monitor via check_agent_commerce. Oracle should have 14-28 days of OHLC data in storage. This data is irreplicable — no one else has it. 28 daily summaries
[ ] P-2 ASI:One discovery Submit Coordinator for ASI:One routing. Optimize its README for agent discovery ranking. Wait for first organic query from ASI:One (not your test). ≥1 organic query
[ ] P-3 Tune the swarm Review via network_status: Brain cache hit rate (target >30%), Sentinel false positive rate (target <20%), Analyst prediction baseline recorded. Adjust pricing if needed. Metrics baselined
[ ] P-4 First organic cross-holding Check if any agent autonomously bought a token with earned FET (via HoldingsManager web3.py). This is the first sign of a self-sustaining economy. ≥1 organic buy

Phase 2 Gate

  [ ] Oracle: 28+ days of historical data
  [ ] Coordinator: ≥50 queries answered
  [ ] Brain cache hit rate >30%
  [ ] Network GDP: ≥5 FET/day
  [ ] All 7 tokens: ≥2 holders each

Phase 3: Grow (Month 2)

Launcher and Scout activate. The network reproduces.

ID What How KPI
[ ] G-1 Launcher deploys child agents Review Launcher's gap analysis (in storage). If ≥3 high-confidence gaps found, let it scaffold + deploy. You sign the token deploy transactions. ≥2 new agents
[ ] G-2 Scout discovers opportunities Review Scout's discoveries (in storage). Tokenize the highest-quality find. Present to $FIND holders as an investment opportunity. ≥10 discovered, 1 tokenized
[ ] G-3 Brain profitability Compare Brain's FET revenue (from check_agent_commerce) vs Claude/ASI:One API costs. Target: revenue ≥ cost. If not, tune pricing or caching. Revenue ≥ cost
[ ] G-4 Network census Run network_status across all agents (original 7 + children). Document total agents, GDP, holder distribution. The network should be growing without you pushing it. ≥12 agents total

Phase 3 Gate

  [ ] ≥2 child agents deployed and running
  [ ] Brain revenue covers API costs
  [ ] Network GDP: ≥20 FET/day
  [ ] $DATA: ≥5 holders
  [ ] Coordinator: ≥10 queries/day

Phase 4: Sustain (Month 3-6)

The moat deepens. Costs covered by revenue. Growth is autonomous.

ID What How KPI
[ ] S-1 Self-sustaining revenue All operational costs (API keys, monitoring) covered by agent commerce revenue. Check monthly via network_status. Profitable
[ ] S-2 Autonomous reproduction Launcher deploys agents without you prompting it. Scout tokenizes discoveries on its own. You just sign transactions. Auto-builds happening
[ ] S-3 Data irreplicability Oracle has 90+ days of historical data. No competitor can replicate this retroactively. Analyst has 90 days of prediction accuracy data. 90 daily summaries, r² > 0.5
[ ] S-4 Community traction At least 1 token with >10 organic holders. Cross-holdings network growing. Multi-operator transition plan documented. ≥1 token >10 holders

Phase 4 Gate

  [ ] Network: ≥25 agents
  [ ] ≥3 tokens with >10 holders
  [ ] ≥1 token with >25% graduation progress
  [ ] Network GDP: ≥50 FET/day
  [ ] All operational costs covered by revenue

Phase 5: Graduate (Month 6+)

First token reaches 30K FET. Auto-DEX listing. The network has proven itself.

ID What How KPI
[ ] F-1 First graduation A token reaches 30,000 FET raised. Auto-lists on PancakeSwap/Uniswap. Verify DEX listing, test trades. 1 token graduated
[ ] F-2 Community > operator Most token holdings are organic (not your manual seed). The community owns the network. Organic > operator
[ ] F-3 ASI:One default routing Coordinator becomes the default for crypto queries on ASI:One. Organic traffic drives GDP. Default routing
[ ] F-4 Network independence All 7 Marketing Team agents profitable. Launcher builds autonomously. Multi-operator keys distributed. You could walk away and it keeps running. Self-sustaining

Endgame Gate

  [ ] ≥1 token graduated to DEX
  [ ] Organic holders outnumber operator holdings
  [ ] Network GDP: ≥500 FET/day
  [ ] All 7 Marketing Team agents profitable
  [ ] Launcher builds without human prompting

Monitoring Cheat Sheet

These toolkit tools replace the manual monitoring tasks from the old plan:

What you want to know Tool
Is my swarm healthy? network_status MCP tool / npx agentlaunch status --swarm
How is one agent doing? check_agent_commerce MCP tool
What's the network GDP? network_status → total GDP field
Are agents paying each other? check_agent_commerce → revenue log
Who holds which tokens? GET /agents/token/{addr}/holders
Is Launcher finding gaps? check_agent_commerce on Launcher → storage
Is Scout finding agents? check_agent_commerce on Scout → storage
Cache hit rate? check_agent_commerce on Brain → health metrics

Moat Targets

Track these over time. They compound — that's the point.

Moat Month 1 Month 3 Month 6
Oracle daily summaries 30 90 180
Cross-holdings 5 15 50+
ASI:One queries/day 1 10 50
Network GDP (FET/day) 1 50 500
Brain cache entries 100 5,000 50,000
Total agents 7 12 25+

Growth Loops

These activate automatically as the network matures:

Loop Mechanism Active by
Data Compounding Oracle collects → data accumulates → moat grows Day 1
Commerce Earn FET → spend on services → GDP grows Day 1
Self-Awareness Read own price → adapt behavior → price responds Phase 2
Quality Flywheel Value → buyers → price → ranking → traffic Phase 2
Reproduction Launcher finds gaps → builds agents → agents buy infra Phase 3
Recruitment Scout discovers agents → tokenizes → joins network Phase 3
Token Network Effect Join → buy tokens → prices rise → more join Phase 3

0/20. Launch day is one command. Everything after is watching the loops compound.