Fairy FAQ
Last updated May 19, 2026
What is Fairy?
Fairy is the control center for AI-native companies — how you run a company of thousands with a handful of people. You deploy agents across every function (engineering, sales, support, finance, legal, ops) to do the work, and Fairy provisions them, governs them with policy-as-code, and judges every consequential decision they make. A handful of internal people and vetted external experts sit behind the agents as backup — not as the labor.
How does Fairy work?
Agents do the volume of the work across every function. Before any consequential action ships, Fairy's Godmother judgment engine decides proceed, route to a human, or block. Low-stakes actions proceed automatically; high-stakes actions are held for backup. Agents escalate down a per-function cascade — agent to internal person to external expert — so nothing consequential is dropped, and every decision lands in one accountable, human-signed system of record.
What is Godmother?
Godmother is Fairy's judgment engine: a deterministic integrity floor that decides proceed, route to a human, or block for every consequential agent action. It holds 100% of high-stakes actions from auto-approval — a deterministic guarantee, not a probability. That's what makes it safe to let agents do the work at volume.
How fast does Fairy move?
Agents work at machine speed, and Godmother's judgment is instant, so most actions clear in real time. When an action is routed to backup, the internal person or vetted external expert typically responds within hours. You choose the escalation tiers per function.
Can Fairy replace hiring?
Fairy changes what you hire for. Agents do the volume of the work, so you no longer scale headcount linearly with output. You keep a handful of internal people plus on-demand external experts as backup — governed by policy-as-code and Godmother — instead of hiring an army to do the labor. Execution is becoming free; judgment is becoming scarce, and Fairy is how you supply judgment without supplying bodies.
Does Fairy guarantee its work?
Yes. Godmother holds 100% of high-stakes actions from auto-approval — a deterministic guarantee, not a probability. Nothing consequential ships without either passing policy or being signed off by an accountable human. If a signed-off action causes a critical failure — a security breach, an unenforceable contract, a compliance violation — Fairy stands behind the sign-off.
Which tools does Fairy work with?
Fairy governs agents built on tools including Claude Code, Cursor, and Windsurf, integrates via the Model Context Protocol (MCP), and offers a REST API for direct integration. Any agent in any function can route a high-stakes decision through Godmother and to human or expert backup programmatically, mid-workflow.
Who are the external experts?
Vetted senior specialists — for engineering, staff- and principal-level engineers with 10+ years of experience, and equivalent domain experts in other functions. They are the last tier of backup: when an agent and an internal person both escalate, an accountable expert makes the call and signs off. Fewer than 5% of expert applicants are accepted, and every sign-off carries a real person's name — not a username or a model identifier.
Is Fairy an AI code review tool like CodeRabbit?
No. Code review is one example of what Fairy governs in the engineering function — not the whole product. AI code review tools (CodeRabbit, Greptile, Codium, Diamond) are automated and cannot take accountability for a decision, and they share blind spots with the AI that produced the work. Fairy is the control center across every function: it judges agent decisions with Godmother and routes the consequential ones to an accountable human. The two are complementary, not the same.
What functions does Fairy cover?
Every function where agents do consequential work — engineering (code changes to auth, payments, architecture), sales, support, finance (models, projections), legal (contract enforceability, clause risk), compliance (regulatory filings), and ops. Each function has its own policy-as-code, its own escalation cascade, and its own pool of internal people and external experts as backup.
How do I get started with Fairy?
Connect with the team at askfairy.com/connect — tell us which functions you're deploying agents into and we'll stand up the control center around them.
How do I become an expert (reviewer)?
Senior experts apply at askfairy.com/apply. Fewer than 5% are accepted. Experts work on their own schedule with no shifts or minimums, are the accountable backup when agents escalate, typically spend 20–30 minutes per decision, and are paid out the next day with no invoicing.
How do AI-native teams use Fairy?
You deploy agents across every function to do the work. Fairy provisions them, governs them with scoped credentials and role- and decision-level authority, and judges every consequential decision with Godmother. Ranked agents earn more autonomy over time; the ones that don't stay on a tighter leash. The consequential decisions route to a handful of internal people and vetted external experts as backup. The result is company-of-thousands output run by a handful of people.
What does “a handful of people” actually mean?
The bottleneck to few-people, huge-output companies was never execution — it was trust. You couldn't let software take consequential actions unsupervised. Fairy removes that bottleneck: agents do the volume, Godmother guarantees the integrity floor, and a small internal team plus on-demand experts handle only the decisions that genuinely need a human. You pay for judgment on the specific actions that warrant it, not for a headcount that scales with your output.
Do I still need senior people if agents do the work?
You need senior-level judgment on the consequential decisions — but that doesn't require an army of full-time hires. Agents increase how much work gets done; the constraint becomes confident sign-off on the high-stakes output. Fairy supplies that: Godmother holds every high-stakes action, and a handful of internal people plus vetted external experts make the calls that matter and sign off with their reputation on the line.
Still have questions?
Talk to the team directly — we'll show you how the control center runs across your functions.