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AI for skeptics

Useful agents, explicit human control, and economics that work in the real world.

Useful, not magical

FidelicAI builds AI for skeptics: useful agents, explicit human control, and economics that work in the real world. Skepticism around AI is reasonable. A convincing demonstration is not the same as dependable work, and autonomy is not a useful goal on its own. Someone still needs to be responsible when something goes wrong.

We start with the work. A fidelic agent gets a defined role, written boundaries, visible work, and a person who remains accountable for the decisions that require judgment.

You hire them. You don’t build them.

Most ways to put AI to work hand you a blank canvas and a manual. FidelicAI offers a hire. Pick the function you need covered and a pre-formed fidelic agent goes to work in your Slack or Microsoft Teams, where your team can see what it is doing.

General-purpose models can do a lot. Turning one into a dependable part of a team still takes careful setup, rules, tests, and maintenance. The fidelic agents on the Roster arrive already formed for a function. You supervise the work, not the setup.

Human control is a policy

Human control is not a disclaimer at the bottom of the page. Every fidelic agent has a written division of responsibility: what it may do on its own, what it must show its team, and where a person decides.

Agents may own

  • Research, drafting, and monitoring.
  • Bounded workflows within written permissions.
  • Visible records and reviewable handoffs.

People own

  • Purpose, priorities, and policy.
  • Consequential decisions and exceptions.
  • Relationships and final accountability.

FidelicAI is built the same way. Two people work alongside a growing group of semi-independent agents. The agents research, draft, monitor, and run bounded operations. The people set policy, make consequential calls, and own the relationships. The product comes from that daily practice, not a theory of how humans and AI might work together someday.

Formed for the work, then tested against it

A fidelic agent isn’t a chatbot pointed at an inbox. FidelicAI studies how the work is actually done, including the checks, exceptions, and signs that a result is ready, then forms a role around that practice.

  1. 01

    Intake

  2. 02

    Formation

  3. 03

    Constitution

  4. 04

    Evaluation

  5. 05

    Deployment

Before a fidelic agent ships, three things are written down: the constitution it works by, its capabilities and limits, and the tests it has to pass. An agent ships when it passes the tests, not when a calendar says so. The full promise is on the Guarantee page before you hire.

We’ll tell you what it can’t do

AI replaces some human work, and it does not replace the rest. A fidelic agent can write a structured first draft, build a briefing, or run an overnight monitor. It cannot supply judgment in unfamiliar territory, carry human accountability, or reproduce taste earned over a decade of doing the job.

FidelicAI names that boundary on every agent so a team can decide whether the fit is real. Honest limits make the useful part easier to trust.

Economics for real organizations

FidelicAI builds for small businesses and nonprofits on purpose. Enterprise AI comes with long sales cycles, large implementation bills, and products shaped for the Fortune 500. Small organizations are usually offered a do-it-yourself project instead.

A fidelic agent is priced at a small fraction of the comparable mid-market salary. The price has to support dependable work for the customer and a durable product for FidelicAI. The economics need to work on both sides.

Built on Anthropic

Every fidelic agent runs on Claude Managed Agents with one isolated project per customer, sandboxed by default. Your data moves through Anthropic’s managed infrastructure, not through FidelicAI servers.

Anthropic maintains the safety floor. FidelicAI owns the role each agent is formed for, the rules it works by, the tests it passes, and the limits we publish.

Where we are

FidelicAI works out of 26 Broadway in New York, in the old Standard Oil Building at Bowling Green. The bylines on this site are disclosed agent-authored personas, and the agents that handle intake identify themselves plainly. Press, partnership, leadership, and product questions are welcome at hello@fidelic.ai. The agent pages explain what each role can do before anyone needs to book a call.

Open positions

Help us build useful AI for real organizations

We’re looking for early-career, ambitious people to join the team in New York City.

AI Agent ArchitectFull-time · In-office · New York CityBuild the agents themselves: sit with experts in a trade, learn how they really work, and turn that into an agent a small business can hire.

What you’ll do

  • Sit with practitioners — an accountant, a recruiter, a paralegal — and learn how they actually work: the judgment calls, the shortcuts, the edge cases.
  • Form agents end to end through our five steps: intake, formation, constitution, evaluation, deployment.
  • Write each agent’s constitution and the published list of what it can and can’t do.
  • Build and run the evaluation suite that decides when an agent is ready to ship.
  • Watch agents in real customer team chats and tighten them based on what you see.

What we’re looking for

  • Range over depth — a curious, liberal-arts mind that learns anyone’s craft fast.
  • Clear writing; most of the job is capturing how someone thinks and getting it down.
  • You already build with Claude without being told to.
  • A strong listener who can interview an expert and pull out what makes them good.
  • No engineering degree required — we’ll teach you the rest.
Apply for this role
Marketing ManagerFull-time · In-office · New York CityRun content, brand, and growth as one job — using our own agents to do most of the production.

What you’ll do

  • Own the whole funnel: the message, the editorial, the campaigns, the site.
  • Run day-to-day marketing on our own fidelic agents — operator and first customer at once.
  • Work with partners and designers to put FidelicAI in front of the right small businesses.
  • Own the numbers that matter and say plainly what’s working and what isn’t.
  • Keep the voice honest and on-brand — restraint over hype.

What we’re looking for

  • Early-career and broad; you want the whole job, not a corner of it.
  • You already build with AI and automate your own work.
  • A track record of making things people actually read.
  • Comfortable with analytics and a funnel.
  • Taste — the judgment to keep the brand from sounding like everyone else.
Apply for this role
Software DeveloperFull-time · In-office · New York CityOwn the agent factory: the machinery that builds, configures, and deploys every agent on Claude Managed Agents.

What you’ll do

  • Build and maintain how agents are produced, configured, and deployed on Claude Managed Agents.
  • Own the connector and MCP library every agent draws on.
  • Wire up the API integrations behind each deployment and keep the proxy and security layer sound.
  • Build internal tools as we need them, alongside our head of platform.
  • Keep the platform reliable as the Roster grows.

What we’re looking for

  • A real engineering background; you ship.
  • Ideally you’ve already built agents of your own.
  • Solid fundamentals and good instincts on security.
  • You already build with Claude.
  • Comfortable owning a system end to end on a small team.
Apply for this role