Put an AI agent to work across your Figma files
Connect Figma in one click and delegate the coordination: an autonomous agent that turns comments into tracked tasks, keeps design reviews moving, flags library changes to the teams that consume them, and runs handoff checks before development starts. You set the autonomy, it does the work.
4-day trial · Cancel anytime
Fleece AI connects to Figma through managed OAuth and lets autonomous agents read files, pages, frames, and components, watch comments and library updates, and post replies in real time. Agents combine Figma with 3,000+ other apps — Slack, Notion, Jira, Google Drive — so a comment thread, a stalled review, or a published component can become a tracked task, a review digest, a change notification, or a handoff checklist anywhere in your stack, under the approval rules you set.
At a glance
| Category | Design |
|---|---|
| Availability | Pro plan and up — included in the 4-day trial |
| Connects to | 3,000+ apps via managed OAuth |
| Setup | Connect your tools — no code required |
| Autonomy | Suggest-only to fully autonomous, with approval gates |
| Pricing | 4-day trial (card required, no charge today), then paid plans |
By Loïc Jané · Updated June 9, 2026
What a Fleece agent does with Figma
Figma is where design actually happens — files full of pages and frames, shared component libraries, FigJam boards for early thinking, and comment threads where feedback, decisions, and half-finished action items pile up. The design work is visible; the coordination around it is not. Comments that should become tickets never leave the canvas, reviews stall because no one knows which threads are still open, and a component change ships without the teams that consume it finding out. A Fleece agent sits on top of that layer: it reads the files, frames, and comments you point it at, understands each thread in context, and acts — filing, notifying, summarizing, or nudging — according to the instructions you give it in plain language.
Under the hood, the connection runs through managed OAuth — you authorize Figma once, and Fleece handles tokens, scopes, and refresh securely. The agent can read file and project structure, walk pages, frames, and components, inspect shared libraries, read and post comments, and pull FigJam content. Webhook-based triggers let it react the moment a new comment lands, a file is updated, or a library is published — no polling, no waiting for someone to notice. It works from the same file URLs your designers already share, so nothing about their workflow has to change.
What makes this different from a Figma plugin or a calendar reminder is judgment and reach. A plugin runs inside one file when someone opens it; a reminder just pings. A Fleece agent reads the actual content of a comment, decides whether it is an actionable change, a question, or resolved chatter, drafts the task with an owner, and coordinates the tools where work is tracked. And because Fleece agents work as a hierarchy — a lead agent delegating to specialized child agents — one Figma-facing agent can hand ticket creation to a Jira agent, documentation to a Notion agent, and asset export to a Drive agent, then report back in the review channel.
What the agent can do in Figma
Comment triage into tasks
Reads comment threads on files and frames, tells actionable feedback from resolved chatter, and turns the real items into tracked tasks with an owner and a link back.
Design-review coordination
Tracks which comment threads are still open across a review file and posts a digest of what is blocking sign-off, so reviews close instead of drifting.
Library and component alerts
Watches for published library and component changes and notifies the teams that consume them, with what changed and which frames are affected.
Handoff checklist runs
Runs a pre-development checklist over a handoff file — naming, specs, exportable assets — and reports what is missing before engineering picks it up.
Real-time triggers
Reacts the moment a comment, file update, or library publish happens, through webhook-based triggers rather than polling files on a timer.
Approval gates
Anything sensitive — posting a public comment, creating a batch of tickets, notifying a wide channel — pauses for your one-click sign-off before it happens.
Automations teams run on Figma
These are concrete setups you can describe to a Fleece agent in plain language. Each one combines Figma with other connected apps.
Design ops: turn comments into tracked work with owners
The agent watches comment threads across a design file and reads each one in context. When a comment is an actionable change rather than resolved chatter, it creates a Jira issue — or a Notion task — with the frame name, the comment text, and a link back to the exact spot on the canvas, and assigns an owner based on the area of the design. Resolved and off-topic threads are left alone, so the backlog fills with real work, not noise.
Reviews: an open-threads digest to Slack
During a review cycle, the agent tracks which comment threads on the review file are still unresolved and who they are waiting on. Each afternoon it posts a digest to the project's Slack channel — the open threads, the frames they sit on, and what is blocking sign-off — so a review closes on schedule instead of drifting for a week. When every thread resolves, it posts that the file is clear for approval.
Design system: notify consumers when a library changes
When a shared library or component is published, the agent reads what changed — a renamed component, an updated variant, a deprecated style — and notifies the teams that consume it in Slack, with the specifics and which frames are affected. It logs the change to a Notion changelog page in the same run, so the design system has a written history and downstream teams are never surprised by a silent update.
Handoff: a pre-development checklist before engineering starts
Before a file moves to development, the agent runs a handoff checklist over it: are frames named consistently, are specs present, are the export-ready assets there. It exports and files the approved assets to a Google Drive handoff folder, writes the checklist result to Notion, and flags anything missing back in the design channel — so engineering starts from a clean handoff rather than chasing gaps.
How to connect Figma to Fleece AI
Create your Fleece account
Sign up and start the 4-day trial. Your Figma agent, its flows, and every other integration live together in one workspace.
Connect Figma via managed OAuth
Pick Figma from the integrations catalog and authorize it in one click. Fleece manages tokens and scopes for you; you can revoke access at any time from Figma or from Fleece.
Describe the job in plain language
Create an agent and tell it what to watch and what to do — "watch our review file, turn actionable comments into Jira issues with owners, digest open threads to Slack each afternoon". No plugin to build, no flowchart to wire.
Set autonomy and approval gates
Choose what the agent may do on its own and what waits for your sign-off. Sensitive actions — posting public comments, creating ticket batches, broad notifications — pause for one-click approval.
Run it on triggers or a schedule
Let the agent react to Figma events in real time through webhooks, or schedule recurring flows — afternoon review digests, pre-handoff checks — that run without you.
Figma works better with the rest of your stack
Figma automations get powerful when they cross app boundaries. Pair Figma with Jira to turn actionable comments into tracked issues, with Notion to keep a design-system changelog and handoff docs, with Slack to digest open review threads and library changes to the teams that consume them, or with Google Drive to file exported handoff assets — all through the same agent, all under the same approval rules. Fleece connects to 3,000+ apps, so the tools your design and engineering teams already share are almost certainly covered, and one Figma-facing agent can reach every one of them in a single run.
Frequently asked questions
Only if you allow it. You set approval gates per agent: routine actions like posting a review digest can run automatically, while sensitive ones — posting a public comment on a file, creating a batch of tickets, notifying a wide channel — pause for your one-click sign-off. You choose the autonomy level and can tighten it at any time, so nothing lands in front of the team unreviewed.
The connection uses managed OAuth: you authorize Figma once through the official consent screen, and tokens are stored and refreshed securely — you never paste an access token into a script. Access is scoped to what you grant, you can revoke it from either side at any time, and security-relevant actions the agent takes are recorded in an audit log for review.
Yes. Webhook-based triggers fire the moment a new comment is posted, a file is updated, or a library is published, so the agent can triage feedback or notify consumers in seconds. You can combine real-time triggers with scheduled flows — for example instant comment triage plus an afternoon digest of open review threads.
A plugin runs inside one file when someone opens it, and a reminder just pings. A Fleece agent reads the actual content of comments and library changes, exercises judgment about what is actionable, and coordinates the whole workflow across 3,000+ other apps — filing Jira issues, updating Notion, notifying Slack, exporting to Drive — from one plain-language brief, without anyone opening the file to make it happen.
Figma is part of the Pro tier — available on Pro and Business plans (Pro unlocks 1,000+ apps, Business the full 3,000+ catalog); you can try it during the 4-day trial of those plans. Higher tiers simply widen the catalog of apps you can pair with Figma in the same agent.
Yes — that's the core design. One agent can watch a Figma review file, create Jira issues from actionable comments, log a change to Notion, notify Slack, and file assets to Google Drive in a single run. For bigger jobs, a lead agent can delegate to specialized child agents and report the outcome back in the design channel.
Runs are recorded step by step, so you can see exactly what the agent did and why. Figma's API enforces rate limits; failed flows retry sensibly, pause themselves after repeated failures instead of looping, and notify you — so a rate limit, an outage, or a missed webhook never fails silently or creates duplicate tickets for the same comment.
Yes. The agent can read file and project structure, walk pages, frames, and components, inspect shared libraries to detect what changed on a publish, and pull FigJam board content for summaries. It only sees the files the OAuth scopes you granted allow, so private projects stay private unless the connected account has access.
Go deeper on the blog
Put Figma on autopilot
Connect Figma in one click, describe the job in plain language, and let an autonomous agent handle the coordination around your design work. 4-day trial, cancel anytime.
Powered by Fleece AI · autonomous agents for 3,000+ apps