agent hive

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

Agents
9
Integrations
13
Routines
4
Import
19s
Budget / mo
$420

Complexity

Standard

Who it's for
A solo or two-person AI-tool startup that needs distribution, prompt evals, and unit-economics watched while every prompt costs real money.
Estimated savings
Run a 5-person AI startup with one operator
Human in the loop
You make the model-pricing call and the 'should we cap free tier' calls.
Sum of agent budgets
$400 (template total: $420)
hive-import.template (ai-tools-startup)
# 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 CEO

Org 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.

CEOsonnet 4.5 · $55/mo
Tech Leadsonnet 4.5 · $50/mo
Engsonnet 4.5 · $60/mo
PromptEngsonnet 4.5 · $40/mo
Designersonnet 4.5 · $35/mo
Distributionhaiku 4.5 · $50/mo
Supporthaiku 4.5 · $35/mo
UnitEconhaiku 4.5 · $40/mo
Analysthaiku 4.5 · $35/mo

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

paying users

Inference cost <$0.04 per active user / day

monthly

inference cost

Viral coefficient >0.4

ongoing

k-factor

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.

NameCadenceOwnerDescription
Daily distribution postdailyDistribution HackerShip 1 piece on TikTok + 1 thread on X + 1 community comment.
Daily prompt evaldailyPrompt EngineerRun eval harness, surface quality regressions, push fixes.
Cost cap alarmevery 4hUnit EconomistPause routes if cost-per-user exceeds threshold; flag the abusers.
Support inbox sweepevery 1hSupportReply 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.'

  1. Day 1

    Import + connect

    Connect the model APIs, PostHog, Stripe, and Vercel. The Operator sets pricing + the burn cap.

  2. Day 2

    Eval harness up

    Prompt Engineer stands up the eval harness and baselines per-route quality + cost.

  3. Day 3

    Distribution starts

    Distribution Hacker ships the first TikTok demo + X thread + community posts.

  4. Day 4

    Unit econ watch

    Unit Economist wires per-user inference cost + free-tier abuse detection.

  5. Day 5

    First-run polish

    Designer tightens the first-run so the inference wait feels intentional.

  6. Day 6

    Support online

    Support catches quality complaints and routes them to the Prompt Engineer.

  7. Day 7

    First P&L review

    The Operator reviews margin per user, CAC, and payback.

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.

  1. 01

    Distribution Hacker · Ship a TikTok demo

    Hook + payoff + CTA in 18 seconds.

  2. 02

    Prompt Engineer · Tune the demo prompt

    Quality > cost; the demo prompt is your billboard.

  3. 03

    Product Designer · Polish the first-run

    First inference happens on landing — make the wait feel intentional.

  4. 04

    Unit Economist · Watch the cost

    Free-tier abusers caught + paywalled.

  5. 05

    Support · Catch quality complaints

    Route to PromptEng + flag the prompt route.

  6. 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.

Stripe

Billing

free / pass-through

Subscriptions for end-users.

Wired via Agent Hive →

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.

Reach 1K paying users without a marketing department.
Cap inference spend before free-tier abuse eats the margin.
Iterate prompts and pricing weekly without theatre.

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.

Run this template on your own colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.

AI Tools Startup — Template — Agent Hive