Swarm AI is a multi-agent approach where a group (a “swarm”) of specialized AI agents works in parallel and then merges results into a single, higher-quality output. SwarmLM applies swarm intelligence principles (parallel work + critique + integration) to produce finished deliverables, not just chat responses.

Does SwarmLM send my tasks to third-party model providers?

By default, this deployment runs the demo in zero-cost stub mode (no third-party AI calls). SwarmLM can be configured to use a self-hosted/local model. Third-party providers are disabled unless explicitly enabled for a deployment. See Privacy for details.

Can I run SwarmLM with my own local model?

Yes. SwarmLM supports local-first runs (for example via Ollama) when configured. Best practice is to expose your local inference over HTTPS and protect it with authentication (such as Cloudflare Access service tokens).

What does a swarm run output look like?

A swarm run returns four stages: a planning pass, a draft, a critique/review, and an integrated final deliverable you can copy or download as Markdown.

What is Swarm AI used for?

Swarm AI works best when you need a finished artifact instead of a raw chat reply. Typical uses include launch plans, technical specs, onboarding flows, research summaries, checklists, and other deliverables that benefit from planning, critique, and integration.

Swarm AI workflow • deliverable-first • local-first optional

Run Swarm AI. Get a finished deliverable.

SwarmLM turns one task into an AI agent swarm workflow with four stages: plan, draft, review, and final output. Start with the sample, run the public workflow preview, then check live runtime status before you connect a token or treat billing as production-ready.

See sample deliverable Run public demo

Verify first: /api/status • Modes: stub, local, paid • Export: Markdown

Live deployment status

Use the public status contract before you treat demo, tokens, or checkout as production-ready.

Demo mode stub

Full runs token-gated

Checkout pilot only

Export Markdown deliverable

This deployment currently exposes a simulated public demo. Check /api/status, review docs, and use pilot access before you assume live provider access or production billing.

Verify the current deployment first

SwarmLM is easiest to evaluate when you check the live runtime state before you test pricing, providers, or local model access.

Check status

Use /api/status to confirm whether demo runs are stub, local, or paid on this deployment.

Run the public demo

Use the demo to inspect the workflow shape: plan, draft, review, and final output.

Escalate to full runs

Use a token for paid runs or follow the docs to configure a local model when you want real execution.

See a sample deliverable before you run anything

This is the shape the public demo returns on this deployment: one task, four stages, and a Markdown-ready final artifact.

Sample task

Write a 3-step launch checklist for a small SaaS product.

Current public demo mode: stub. This sample shows workflow shape, not live-provider quality.

Plan

Clarify constraints, break the work into steps, and shape the deliverable before drafting.

Draft

Create the first artifact with sections, checkpoints, and a clear definition of done.

Review

Find missing assumptions, edge cases, and vague steps before anything is exported.

Final

Merge the best parts into a clean checklist or plan you can copy, download, and execute.

Sample final output

Run the live demo

# SwarmLM Deliverable

## Task
Write a 3-step launch checklist for a small SaaS product.

## Definition of done
- A complete first version is produced with clear next actions and owners.

## Plan (step-by-step)
1) Clarify goal + audience in 5 minutes.
2) Draft the skeleton, then fill each section.
3) Run critique, fix the top 3 gaps, and export.

## Quick checklist
- [ ] Goal and audience written in one sentence
- [ ] First draft produced
- [ ] Critique pass completed
- [ ] Next action scheduled

Try a swarm run

Enter a task and inspect the run shape. When a deployment is in stub mode, the output is simulated and is meant to show the workflow rather than prove model quality.

Task

Access token (optional)

Join waitlist

Output

(Run a swarm to see output here.)

Swarm AI, explained

Swarm AI is a practical way to get better results from AI agents: run multiple specialized agents in parallel, critique the work, then integrate it into a single deliverable. SwarmLM is built around this workflow.

Swarm intelligence

Parallel exploration + redundancy reduces blind spots and improves reliability.

AI agents (roles)

Planner, creator, reviewer, integrator — each role is narrow, so outputs are easier to verify.

Deliverable-first

Every run is shaped into an artifact you can copy or download, not a meandering transcript.

Go deeper: Swarm AI guide • AI agents • Swarm intelligence • API docs

How it works

Each run spins up a small swarm of agents with distinct responsibilities. The end result is an artifact — not a chat transcript.

Planner Agent

Breaks your request into steps, constraints, assumptions, and deliverable format.

Creator Agent

Generates the primary draft (code/doc/playbook) from the plan.

Reviewer Agent

Finds gaps, contradictions, missing edge cases, and improves clarity.

Integrator Agent

Merges improvements into a final deliverable, ready to export.

Learner Agent (optional)

Uses feedback to tune prompts, templates, and routing — without leaking user data.

Policy & Cost Guards

Rejects disallowed tasks and enforces budget caps to prevent runaway spend.

Use cases

SwarmLM is built for real work: strategy, engineering, operations, and creative production.

Startup Launch Kit

Positioning, pricing, landing page copy, and a 30‑day launch plan.

Engineering Spike

Architecture outline, API design, and a repo scaffold you can extend.

Marketing (non‑SEO)

Campaign concepting, creative briefs, scripts, and asset checklists.

Automation Playbooks

Repeatable SOPs, templates, and tool integrations for your workflows.

FAQ

Straight answers about Swarm AI, AI agents, privacy, and what you get from a run.

What is Swarm AI?

Swarm AI is a multi-agent approach where multiple specialized AI agents work in parallel and then merge their outputs. SwarmLM uses a plan → draft → review → integrate flow to produce a finished deliverable.

What is an AI agent swarm?

An AI agent swarm is a small team of agents with distinct responsibilities (like planner, creator, reviewer, and integrator). Narrow roles make outputs easier to verify and refine.

Does SwarmLM send my tasks to OpenAI or other third parties?

The demo runs in zero-cost stub mode by default (no third-party model calls). SwarmLM can be configured to run local-first with your own model, and third-party providers are disabled unless explicitly enabled for a deployment. See Privacy.

Can I run SwarmLM with a self-hosted/local model?

Yes. SwarmLM can call a local model endpoint (for example Ollama) when configured. Best practice is to keep inference private and require HTTPS + authentication (such as Cloudflare Access service tokens).

What does a swarm run produce?

A swarm run outputs a plan, a draft, a critique/review pass, and an integrated final artifact — ready to copy or download as Markdown.

Is SwarmLM a chat app?

SwarmLM is deliverable-first: the goal is a finished artifact (plan, checklist, doc, scaffold, or playbook), not an open-ended chat transcript.

Pilot access

These pilot tiers match the current checkout plans and default runtime limits. Each checkout plan currently mints a 30-day entitlement token, not an open-ended subscription. Need the plain-English overview? See pilot access.

Check access options

Enter your email, then check whether this deployment exposes pilot checkout.

Pilot deployments may return sandbox payment links while billing is being finalized. After payment you’ll return here to claim an access token. Check /api/status before treating checkout as production-ready.

Basic Swarm (30 days)

$19 / 30 days

30-day pilot token with default limits of 2 runs/minute and 50 runs/day. Best for lighter deliverables on one deployment.

Pro Swarm (30 days)

$79 / 30 days

30-day pilot token with default limits of 6 runs/minute and 250 runs/day. Good for heavier iteration on a configured deployment.

Enterprise Swarm (30 days)

$249 / 30 days

30-day pilot token with default limits of 20 runs/minute and 2000 runs/day. Best for higher-throughput internal testing on one deployment.

Current checkout creates time-boxed entitlements. Provider routing and billing mode still depend on the live /api/status contract for this deployment.

Request pilot access

Get rollout updates as paid runs open more broadly. Tell us what you want SwarmLM to do for you.

What you’ll get

Early access updates, pilot rollout notices, and a way to request new swarm templates.

We won’t spam you. One launch email + occasional milestone updates.