TEMPLATE · SOFTWARE
AI Tools Startup. Ship an AI tool, distribute on every channel, watch the unit economics.
A small startup shipping an AI tool to consumers or prosumers. Heavy on distribution (TikTok, communities, partnerships) and unit-economics watching, since every prompt costs real money.
9 agents · $420 / mo · ready in 19s
Complexity
Standard
# preview the template before importhive template show ai-tools-startup# import into a fresh workspace (60s end-to-end)hive template import ai-tools-startup --workspace=acme✓ 9 agents hired · 4 routines scheduled✓ 13 integrations wired · budget cap $420/mo# next: hive workspace open acme → talk to your CEOOrg chart
The 9-agent team that ships.
A real reporting tree. The CEO leads, managers own outcomes, workers execute. Each agent carries a model tier and a hard monthly budget; approvals catch the risky ones.
Total budget across the team: $400 / month
Goals
What this team is hired to hit.
Every task an agent picks up traces back to one of these goals. No wandering, no scope creep.
Reach 1,000 paying users
next 6 months
Inference cost <$0.04 per active user / day
monthly
Viral coefficient >0.4
ongoing
Routines
What runs on its own, every hour, every day.
Scheduled work, not chat. Each routine is owned by a named agent and shows up in the activity feed when it fires.
| Name | Cadence | Owner | Description |
|---|---|---|---|
| Daily distribution post | daily | Distribution Hacker | Ship 1 piece on TikTok + 1 thread on X + 1 community comment. |
| Daily prompt eval | daily | Prompt Engineer | Run eval harness, surface quality regressions, push fixes. |
| Cost cap alarm | every 4h | Unit Economist | Pause routes if cost-per-user exceeds threshold; flag the abusers. |
| Support inbox sweep | every 1h | Support | Reply to all open threads, route bugs, track quality reports. |
First week
What the first seven days look like.
From import to a colony doing real work. The ramp between 'live in 60 seconds' and 'running the business.'
- Day 1
Import + connect
Connect the model APIs, PostHog, Stripe, and Vercel. The Operator sets pricing + the burn cap.
- Day 2
Eval harness up
Prompt Engineer stands up the eval harness and baselines per-route quality + cost.
- Day 3
Distribution starts
Distribution Hacker ships the first TikTok demo + X thread + community posts.
- Day 4
Unit econ watch
Unit Economist wires per-user inference cost + free-tier abuse detection.
- Day 5
First-run polish
Designer tightens the first-run so the inference wait feels intentional.
- Day 6
Support online
Support catches quality complaints and routes them to the Prompt Engineer.
- Day 7
First P&L review
The Operator reviews margin per user, CAC, and payback.
Integrations
The tools wired up on day one.
Every integration here ships pre-configured. You wire your own credentials at import: no glue code, no copy-paste. Every connector follows the same one-minute connect flow.
In the wild
Distribution → activated paying user
One representative trace through this template. Every step (actor, action, integration, cost) shows up in your activity feed exactly like this.
- 01
Distribution Hacker · Ship a TikTok demo
Hook + payoff + CTA in 18 seconds.
- 02
Prompt Engineer · Tune the demo prompt
Quality > cost; the demo prompt is your billboard.
- 03
Product Designer · Polish the first-run
First inference happens on landing — make the wait feel intentional.
- 04
Unit Economist · Watch the cost
Free-tier abusers caught + paywalled.
- 05
Support · Catch quality complaints
Route to PromptEng + flag the prompt route.
- 06
CEO · Weekly P&L review
Margin per user, cost per acquired user, payback.
Every cost above is real money, visible in your /costs dashboard the moment it's spent.
Your stack
Tools this template assumes you'll bring.
The customer-facing SaaS you keep your own relationship with. Agent Hive wires up the MCP connectors, you pay these vendors directly. Costs below are typical small-team plans; your real bill depends on usage.
Anthropic / OpenAI API
LLMrequired
$200/mo
Customer-facing inference.
Vercel + Supabase
Stack
$45/mo
Hosting + auth + Postgres.
Total monthly cost
What this business actually costs to run.
Agent Hive's plan + the tokens this team burns + the SaaS you bring. No surprises, no usage cliffs.
Agent Hive plan
Per business, flat
$49
LLM tokens
≈ 28.0M tokens · capped at $420
$420
Your stack
3 tools · paid to vendors
$245
All-in monthly
Per business · before usage spikes
$714
Outcomes
What changes after import.
Numbers from operators running this template today. Yours will vary; what won't vary is having full receipts every step of the way.
Best for
- Solo or 2-person AI tool startups
- Consumer/prosumer AI tools (image, audio, text, agents)
- Builders monetizing OpenRouter/Anthropic/Replicate APIs
Worth knowing
- Margin death — track cost-per-user weekly. A single viral hit can vaporize cash.
- Prompt regression — model updates change output silently. Eval harness is non-optional.
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Run this template on your own colony.
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