AI agent designer
AI agents for your
whole company.
Designed in minutes.
Describe your workflow in plain language. Envelope turns it into a complete AI agent design — roles, skills, models, tools, and handoffs — ready to export.
Designs AI agents around the tools you already use
Slack
HubSpot
Notion
Stripe
JiraHow it works
From idea to spec in minutes.
Describe
Tell Envelope what you want to automate, or enter your company URL and it'll suggest ideas by department. No blank page.
Design
Envelope designs the sub-agent structure — roles, skills, model, tools, and reporting lines. Refine it in conversation until it's right.
Export or share
Download the spec, share a link with your team, or hand it to IT with everything they need to implement it.
The output
A spec, not a chatlog.
Envelope doesn't give you a wall of text. It gives you a structured AI agent design — something you can read, share, store in Git, and hand to an engineer who knows exactly what to build.
Roles & responsibilities
Know exactly what each agent owns before you start building — no scope creep, no 'I thought that handled it.'
Tools & credentials
Every integration requirement surfaces upfront, so there are no last-minute 'we need API access' surprises when you hit deploy.
Reporting lines
Define who hands off to whom so workflows actually complete — not just a list of agents with no coordination logic.
Approval gates
Design human-in-the-loop checkpoints into the workflow from the start — so the right person reviews, approves, or redirects before the next agent runs.
An open schema
Export a spec your team can store in Git and implement directly — no translating your brief, no lock-in.
Support triage team
Triage Agent
ZendeskSlackResearch Agent
Reports to Triage Agent
Notion
GitHubEscalation Agent
Reports to Triage Agent
Slack
GmailWhy not just use ChatGPT?
Guardrails, not a blank box.
A general chat tool gives you a blank canvas — useful if you know exactly what to ask, frustrating if you don't. Envelope is opinionated: it knows about roles, tools, team structure, and hand-offs. You fill in what you want; it handles the design.
Try the designerFor IT & engineering
A handoff that actually helps.
Every AI agent design exports as an open JSON schema — documented, portable, and storable in Git. IT gets a clear spec, not a vague brief. If they want zero-config deployment, there's an MCP endpoint too.
Your AI agent design belongs to you.
Your AI agents are defined in an open JSON schema — portable, versionable, and readable by any conforming runtime. Validate in your IDE. Store in Git. No lock-in.
Frequently asked questions
What is an AI agent designer?
How is Envelope different from ChatGPT or Claude?
Do I need to know how to code to use Envelope?
What does Envelope output?
Is Envelope free?
How is Envelope different from workflow automation tools like n8n, Make, or Zapier?
From the writing
All posts7 min read
AI agents for HR teams: what to build and where to start
HR is full of structured, repeatable work that slows down when done manually at scale. Five workflows worth building as AI agents, with human oversight designed in from the start.
6 min read
When to use one AI agent vs. many: a practical decision guide
The instinct when designing AI agent systems is to add more agents. Usually that instinct is wrong. Here's how to decide when a single agent is enough and when splitting actually helps.
7 min read
How to test an AI agent before deploying it
Testing an AI agent isn't like testing a function. Outputs are non-deterministic, tool calls have side effects, and failures can cascade silently. Here's how to test each layer before anything goes to production.
7 min read
AI agents for finance teams: what to build and where to start
Finance workflows are structured, high-stakes, and repetitive — the ideal conditions for AI agents. Five workflows worth building as agents, and how to design them with human oversight built in.