Build and edit AI agents
Define instructions, attach skills, configure tool access, and set human checkpoints from one editor. Edits are versioned and reversible, so a bad prompt change stops being a Friday-night incident.
Agentman Studio
Studio is the single UI where teams build, manage, monitor, and audit the AI agents running their business. Versioned skills, session review, per-agent cost attribution, and audit trails, built for operators rather than API developers.

The problem
Model vendor consoles were built for developers shipping their first integration, and they do that job well. The work changes once an agent is live. Agent definitions live in one place, session logs in another, and costs are buried inside a billing UI that mixes API keys with telemetry an operator does not need to see.
That arrangement breaks down once you are running twenty agents across multiple teams or practices, and you need to know which agent spent what, which session went off-script, and which version of which skill was running when a patient was quoted the wrong copay. Studio is the UI that should exist for that work.
What Studio is
Studio connects to the leading frontier model providers through native APIs, with no proprietary wrapper in between. Every model capability stays available; Studio adds the operations layer model providers do not build, including versioned skills, session review, agent-level cost attribution, and audit trails, in a UI designed for the person running agents rather than the person calling an API.
What you do in Studio
Every screen below ships with Studio today. No add-ons, no separate consoles, no waiting list.
Define instructions, attach skills, configure tool access, and set human checkpoints from one editor. Edits are versioned and reversible, so a bad prompt change stops being a Friday-night incident.
Every conversation is searchable, filterable, and exportable. Review what users asked, what the agent read, what it decided, and what it produced. Replay a flagged session against a new skill version to confirm the fix.
Skills are first-class objects. Inputs, reasoning steps, outputs, and citations live together, written in natural language, version-controlled, and tested against real documents before anything ships to a patient or customer.
Per-agent cost attribution, not a flat invoice. See which agent drives spend, which skill is token-heavy, which customer cohort consumes what, with latency and error rates alongside.
Every agent decision is captured with skill version, source citation, timestamp, and operator. Your compliance team reviews a trail, not a black box, and exports it in formats your auditors already accept.
Native connectors for healthcare standards (FHIR, HL7), document stores, identity providers, and the SaaS platforms regulated industries already depend on. Bring data in, push results out, keep PHI under your controls.
Studio vs. vendor AI consoles
| Dimension | Vendor AI console | Agentman Studio |
|---|---|---|
| Built for | Developers integrating the API | Operators running agents in production |
| Agent definition | System prompts in chat threads or source files | Versioned agents with reversible edits |
| Skills | Not a first-class concept | Versioned, testable, portable, citation-aware |
| Cost view | Aggregate billing by API key | Per-agent attribution by team and customer |
| Session review | You build the logging yourself | Searchable transcripts, replay, and QA flags built in |
| Audit | Whatever you wire up after the fact | Every decision traceable by default |
| Integrations | API surface, you wire the rest | Native FHIR, HL7, document stores, identity providers |
Want to see Studio against your stack? Sign up free, or have an Agentman engineer walk you through it on a 30-minute call.
Skill anatomy
A skill in Studio is a structured procedure with named inputs, explicit reasoning steps, typed outputs, source citations, and a version history you can roll back. Skills are written in natural language, tested against real documents, and portable across agents.
The same skill that verifies eligibility on Tuesday can be cloned, edited, and shipped on Thursday without breaking the agents already running the previous version.
Browse the public skill library at myAgentSkills.aipatient_id, payer, service_codes[]1. Resolve payer-specific coverage policy.
2. Match service codes against current benefits.
3. Confirm prior authorization requirement.
v3.4.1 · today · expanded Medicare Advantage coverage
v3.4.0 · 12 days ago · added 270/271 fallback
v3.3.5 · 5 weeks ago · tightened copay parsing
Who Studio is for
Healthcare, legal, and financial services teams where the compliance bar is high and the blast radius of a bad agent decision is real. Studio gives you per-agent cost, session review, and an audit trail your compliance lead can actually read.
AI enablement and platform groups supporting many internal AI use cases. Studio is the layer your developers build on, with one skills library, one audit model, one cost view, and clean separation between teams sharing the same workspace.
If your business is building AI agents for clients, Studio is what you deliver on. Versioned skill libraries, portable to the client tenant, with clean separation between customer environments so one engagement does not bleed into another.
Proof
24 months in productionStudio is the platform underneath Medman, Agentman's back-office automation suite for independent medical practices, live across clinical environments today. Every agent engagement Agentman ships, from healthcare back offices to legal reasoning libraries to financial services skill sets, runs on the same Studio you sign up for.
90%
of eligibility checks automated, no human in the loop
50 → 7
monthly verification hours, Valley Diabetes & Obesity
$107K–$149K
projected annual savings per provider
2,700+
payers integrated for eligibility and benefits
“We cut 50 hours of monthly verification calls down to 7. Staff aren't drowning in eligibility calls anymore, they're actually talking to patients.”
Where Studio fits
Studio is where agents are built and run day to day. AgentForge tests them against hundreds of scenarios before release. AgentLens traces what they do once they ship. AgentWatch (in early access) wires alerts and SLAs around the portfolio. The four products share one skills library and one audit model, so nothing has to be re-stitched between stages.
Test
AgentForge
Hundreds of scenarios in parallel
Build & run
AgentStudio
Skills, sessions, costs, audit
Trace
AgentLens
Conversation-level observability
Monitor
AgentWatch
Alerts and SLAs, early access
Coming next
Get started
Pick the entry point that matches the agent you need to ship and the timeline you have for shipping it.
Sign up for Studio, clone a starter skill from the public library, and ship your first AI agent in a week. Self-serve access, public documentation, and the same skill library Agentman's own team works from.
Sign up freeIf your first agent is business-critical and you want a senior engineer in the room, Agentman's team co-builds with you on Studio. You leave the engagement with the agent, the skills, and the operating playbook, all owned by you.
Talk to a Studio engineerFor enterprises with a defined scope, a regulated compliance bar, and a production deadline. Agentman designs, builds, and deploys production agents on Studio, then hands you the keys to a workspace your team owns end to end.
See enterprise engagementsFrequently asked
No credit card required for the free tier. Enterprise scoping calls run 30 minutes.