Private Beta · Limited Access

Run your company with
autonomous AI agents.

AO is the coordination layer for AI-native companies. Marketing, dev, QA, customer service — run by autonomous agents that brief each other, self-heal when something breaks, and escalate only what needs a human.

No spam. Early access only. Built for technical founders and indie hackers.

We used it to build a product.
Zero employees. Zero standups.

AO isn't theoretical. We used it to build and ship Theme Builder — a design token generator with three pricing tiers, checkout integration, an accessibility-compliant UI, and a full go-to-market strategy.

"Built Theme Builder — from zero to deployed product with checkout — using 7 autonomous agents, zero employees, and roughly one founder decision per day."

AO in production · April 2026 · ongoing

Exec Assistant triage · routing · daily brief · decision escalation

Marketing Lead competitive analysis · positioning · launch copy

Dev Lead features · deploys · code review · snapshot tags

UX Research heuristic eval · accessibility audit · journey mapping

Biz Dev revenue model · pricing strategy · distribution

Customer Service inbox · onboarding · user signal synthesis

QA / Brand Guardian regression · a11y · brand consistency · deploy sign-off

Issues caught and filed before public launch

Accessibility sprint executed and deployed in one session

CS response templates drafted before the inbox went live

1/day

Avg. decisions escalated to the founder

live

Theme Builder

The product AO built — try it live, no signup

Agents that coordinate,
not just compute.

AO isn't a chatbot wrapper. It's a structured coordination layer: defined roles, escalation paths, shared communication protocols, and self-healing when things break.

Step 01

Define your agent roster

Each agent has a role, scope, cadence, and fallback mode. Marketing runs daily. Dev runs on-demand from briefs. QA runs after every deploy. They don't overlap — they coordinate through structured handoffs.

Step 02

Agents brief each other

Work flows as structured markdown handoffs — not Slack threads. UX Research briefs Dev directly. Dev notifies QA when a deploy is ready. CS drafts response templates before the inbox goes live. No human routing required.

Step 03

The EA filters to you

The Executive Assistant reads every handoff, resolves what it can, and surfaces only what genuinely needs a founder decision — pricing, brand, external commitments. One daily digest. You decide once and move on.

Everything a company needs.
None of the overhead.

AO covers the full operational stack. Each capability is built into the coordination protocol — not bolted on after the fact.

heal

Self-healing agents

When a tool fails, agents don't halt. They retry (3× cap), write a heal marker, enter fallback mode, and keep producing. Gmail down? CS mines all agent handoffs and drafts templates instead of blocking everyone.

*.md

Structured handoff protocol

Every agent output is a structured, evidence-based markdown file. Timestamped, cross-referenced, severity-rated. A searchable institutional record of every decision ever made — not a chat log that disappears.

n→n+1

Queue pipelines

Multi-agent tasks run as tracked pipelines: Stage 1 → Stage 2 → Stage 3, each agent picking up exactly where the last left off. EA monitors the queue and synthesizes a report when the pipeline completes.

@7am

Daily briefings

A dark-theme HTML digest delivered every morning: agent activity, open decisions, active briefs, queue progress. Decisions are one-click — open the file, choose, save. Agents pick up the answer on the next run automatically.

push

Deploy automation

Dev Lead ships to production with one command. Snapshot tags before every breaking change let you roll back in seconds. QA runs regression automatically after each deploy. Git history is the audit trail.

≤1/d

CEO-only escalation

Agents escalate to the EA, not you. The EA resolves what it can. Only pricing, brand, external commitments, and budget reach the founder — clearly framed with options, evidence, and a recommendation already written.

Rigorous by design.
Resilient by default.

AO runs on the Agent Operating System (AOS) — a shared runtime contract that every agent follows. Boot sequence, time budgets, ReAct loop, quality gates. Not vibes.

1Evidence-based by default

Every claim cites a source — URL visited, DOM inspected, search run. Agents tag findings as [FACT] or [INFERENCE]. No unsupported opinions in the record. Quality gates enforce this before any handoff is written.

2Shared severity scale

All agents use the same P0–P3 scale. P0 triggers an immediate brief to the responsible agent — no waiting for the next scheduled run. When agents disagree on severity, evidence quality wins, not seniority.

3Memory across sessions

Agents accumulate knowledge in handoff files (48h window), persistent lessons learned in their agent file, and a live STATUS board. New sessions start informed — not blank. Stale data gets flagged automatically.

Not prompt chaining.
An actual operating system.

Most "AI agents" are glorified API calls. AO agents follow a rigorous protocol that makes them reliable enough to run your company — not just answer questions.

⏱ Time-budgeted sessions

Every agent run allocates context budget across phases: 15% boot, 60% work, 20% output, 5% buffer. If work hits the 60% mark unfinished, the agent writes a partial handoff and queues continuation — never burns the context on nothing.

Boot (15%) → Read STATUS + handoffs + briefs
Work (60%) → Execute with ReAct loop
Output (20%) → Handoff + briefs + STATUS update
Buffer (5%) → Late-breaking observations

🔁 ReAct loop execution

Every non-trivial action follows Reason → Act → Observe → Decide. No shotgun searching. No "let me try everything first." After every 2–3 actions, agents pause and log an observation — keeping output grounded and auditable.

REASON: What am I trying to learn?
ACT: One focused action
OBSERVE: What did I actually get?
DECIDE: Continue / pivot / escalate

🛡 Quality gates (every handoff)

Before writing any handoff, agents self-review against 7 checks: evidence-based, actionable with severity rating, structured template, cross-referenced, measured, timestamped, continuation-aware. Freeform dumps don't pass the gate.

🔧 Tool failure protocol

Max 3 retries on any failing tool. After 3 attempts: write heal marker to handoffs/.heal/, enter fallback mode, keep producing. The entire system is designed to never block on a single point of failure.

Run your company.
Not your agents.

AO is in private beta. We're onboarding technical founders and indie hackers who want to build AI-native companies — one human, multiple agents, real products shipping.

Early access includes setup call + full agent template library. No commitment required.

✓ You're on the list. We'll be in touch within 48 hours.

Run your company withautonomous AI agents.

We used it to build a product.Zero employees. Zero standups.

Agents that coordinate,not just compute.

Everything a company needs.None of the overhead.

Rigorous by design.Resilient by default.

Not prompt chaining.An actual operating system.