Autonomous AI Agent Fleet · Beta

AI cofounder team for any company.

Pre-loaded with 10 agents. Battle-tested on real operating data, not demos. Connect Slack and Stripe. Ship from day one.

—lifetime

—last 24h

—last hour

—right now

live · agents working

0 runs · last 24h

↓ 0 lifetime runs · trained on $1.2M of real operating data

Start onboarding

See the fleet

Per-tenant RLS isolation

Your data stays yours

SOC 2 on the roadmap

Plugs into the tools you already run on

Slack

GitHub

Stripe

Jira

Linear

Gmail

Notion

Zendesk

Slack

GitHub

Stripe

Jira

Linear

Gmail

Notion

Zendesk

The fleet

The agent team, on one canvas.

Sample of the agent canvas. Real agent names, illustrative activity. This is the shape of what you see after onboarding finishes.

Engineering · 2 agents

running

engineer

I read the repo, write the PR, and stop short of merging.

Drafting PR · price-split rounding fix

I run the test suite on each PR and draft reproducible bug tickets.

Ran 142 tests on PR #318 · 2 flaky · ticket drafted

Trust & Safety · 1 agent

running

dispute-response

I draft compelling-evidence chargeback responses from trip data.

3 chargebacks · evidence packets queued for approval

Operations · 1 agent

running

support-lead

I read every #ops thread and either reply or route it.

Read 48 #ops threads · 41 answered · 7 routed

Strategy · 2 agents

running

chief-of-staff

I compile the morning brief — what to decide today, what to fire.

Morning brief ready · 3 Decide-Today · 1 Fire

I RICE-rank a backlog from fleet runs and dispatch the top three.

RICE-scoring 8 candidates · top 3 dispatched

Growth · 1 agent

performance-marketer

I plan two-sided paid spend — host supply and guest demand.

Weekly plan · $480 reallocation · awaiting approval

The full fleet · live on day one

Start onboarding

See the fleet

Why Praxis

Three shapes of work. Real outputs, not chat replies.

Each agent ships with a typed output envelope and a decision class so the runtime knows when to act and when to ask. Below: three illustrative situations, three agent shapes, three concrete deliverables.

engineer · illustrative

A host was overcharged $493 on one trip because a rounding bug in the price-split code drifted the wrong way. The agent located the bug in the helper file, drafted a surgical PR, and the founder shipped + refunded same day.

dispute-response · illustrative

2am: three Stripe chargebacks landed overnight. The agent assembled the evidence packet for each — GPS, check-in photos, host messages, trip timeline — and queued all three for approval. Founder approved at 7am, funds recovered.

performance-marketer · illustrative

Memorial Day weekend, San Francisco demand up 40%. The agent drafted a weekly paid-acquisition plan reallocating $480 from underperforming YouTube placements into Meta Advantage+. Founder approved. ~$14K added GMV.

Why Praxis