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 agent memory: how agents remember context across tasks
Agents don't remember by default — memory is something you design in. Here are the three types, when to use each, and the design decisions that separate a useful agent from one that keeps starting from scratch.
6 min read
AI agents vs automation: when to use each
Automation follows rules. AI agents make decisions. They solve different problems — and knowing which to reach for, and when to combine them, is the key design question.
6 min read
AI agent handoffs: how to design clean transitions between agents
A handoff is the contract between agents — what one produces and what the next expects. Most multi-agent systems fail here. Here's how to design handoffs that don't break.
5 min read
AI agents vs chatbots: what's the actual difference?
Chatbots respond to a single input. AI agents execute multi-step tasks using tools, memory, and autonomous decision-making. Here's how to tell them apart — and when to use each.