BYOBot

Automate the work around your Figma files

Figma is where design lives, but the work around it still happens manually. Writing up handoff notes, exporting assets on a schedule, documenting component libraries, sending stakeholder update emails, and keeping design files organized all take time that isn't design. BYOBot automates that layer.

Describe the workflow you want to automate: we'll build you a step-by-step spec you can run today.

First agent free · No account required

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Common workflows for this tool

📋Write a design handoff doc 🎫Create Jira tickets from designs 📤Export and organize assets 📢Send stakeholder update 📚Document component library 🔄Sync design status to Notion

How BYOBot works

Build a bot for your design ops

Describe your Figma workflow: how files are organized, what handoff looks like, what status updates go to which stakeholders, and which steps you do manually after every design review, and BYOBot builds your portable agent.

1
Describe your design handoff process

Tell BYOBot how your Figma files are structured, what happens after a design review, how you communicate changes to developers and stakeholders, and which part of the handoff process takes the most manual effort.

2
We map it to an automation

BYOBot turns your description into your portable agent: a prompt for any AI chat tool, a browser agent that drives Figma for you, and a full pipeline spec ready for a developer.

3
AI takes over your Figma workflow

You get a ready-to-use automation spec. Start with the chat prompt to test the logic, move to the browser agent for hands-free execution in Figma, or hand the pipeline spec to a developer to deploy as a full pipeline.

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Tools used alongside Figma

Figma sits at the center of your design stack

Slack Notifications Notion Docs Google Docs Specs Jira Dev tickets Linear Dev tasks Asana Project ops Google Drive File backup GitHub Dev handoff Confluence Docs Microsoft Teams Comms Airtable Asset tracking Monday.com Projects

How it works

Your Figma workflow in one portable agent

In your AI chat tool
Ready-to-use prompts for any AI chat tool

BYOBot produces an AI chat tool prompt that generates a complete design handoff document from your pasted Figma file details: component inventory, interaction notes, asset list, developer questions flagged, and acceptance criteria. Ready to share with the dev team.

Works with ChatGPT, Claude, Gemini, or any LLM: free to start
In a browser agent
browser agent drives Figma for you

The browser agent navigates your Figma files, Jira boards, and Slack through Chrome: pulling frame names and notes, creating Jira tickets for each design decision, and posting a stakeholder update: all without manual copying.

Works with any AI browser agent tool
In your stack
A full blueprint for unattended automation

Uses the Figma REST API to read file data, extract component details, and export assets programmatically. Pushes handoff docs to Notion or Confluence, creates Jira tickets, and sends update emails on merge. Full pipeline with QA tests.

Connects to Zapier, Make, n8n, or custom APIs

Is BYOBot worth it?

What you get that an LLM alone won't give you

✦ Portable
Download it, use it with any browser-capable AI

A chat answer dies in the thread. Your agent is a file you own: run it in ChatGPT, Claude, or Gemini, drop it into a browser agent, or hand it to your stack, as many times as you like.

✦ Conversational
Training your AI agent is super easy

No prompt engineering degree required. Describe what you do, the tabs you open, the data you move, and BYOBot asks the questions that turn your knowledge into the spec.

✦ Tested
Custom QA milestones in every agent

Every build ships with smoke tests and pass, warn, and fail checks for each step. You'll know it ran right, not just that it ran.

Who it's for

See Yourself Using AI?

BYOBot can automate Figma workflows for any of these roles: no coding experience needed.

Product Manager Roadmaps Marketing Ops Brand Content Manager Creative Operations Manager Design ops Founders & Operators Small teams Customer Success Asset delivery Sales Ops Collateral Data Analyst Dashboard design HR Ops Internal comms Social Media Marketer Creative ops

What you get

Design handoffs that write themselves

The gap between a finished Figma frame and a shipped feature is filled with manual work: copying component specs, writing developer notes, exporting assets, creating Jira tickets, and sending stakeholder emails. BYOBot automates that gap.

The build gives designers a prompt that turns a pasted Figma summary into a complete handoff document (component list, interaction specs, developer questions, and acceptance criteria) in seconds, with a consistent format the team can rely on.

The hands-free version deploys a browser agent that reads your Figma workspace through Chrome, navigates to Jira or Notion to create tickets and pages, and posts a Slack update to the relevant channel: no copying, no formatting, no manual steps.

The pipeline spec provides a full pipeline spec using the Figma REST API: reading file structures, extracting component data, exporting production assets, and pushing everything to your downstream tools on a trigger. Developer-ready, with full QA coverage.

Got questions

Frequently Asked

The most common are design handoff documentation (turning a finished frame into a structured spec for developers), asset export scheduling (exporting updated assets to Google Drive or S3 after a design review), component library documentation (generating a component inventory with usage notes), stakeholder update emails (summarizing what changed in the last design sprint), and Jira/Linear ticket creation (turning each design decision into a scoped dev ticket). Any workflow that involves reading Figma file data and producing output in another tool is a candidate.
The chat prompt works from pasted data: you describe the file or paste relevant details into an AI chat tool, no Figma access required. The hands-free version uses a browser agent that reads your Figma workspace through your existing browser session, the same way you would. The pipeline spec uses the Figma REST API and requires a Figma Personal Access Token, which the spec includes instructions for generating.
Yes. The most common version: after a design review, the agent reads the relevant Figma frames, identifies each design decision or component change, and creates a scoped Jira ticket for each one: with a description, acceptance criteria, and a link back to the Figma frame. The browser agent runs this through the browser; the pipeline spec uses both the Figma and Jira APIs for a fully automated pipeline.
Yes. the prompt and browser agent versions require no API keys, no code, and no technical setup. The chat prompt runs in an AI chat tool: describe your Figma workflow and get a prompt back. The hands-free version uses a browser agent, which installs as a browser extension. The only piece that requires a developer is the pipeline spec, and even then, the spec is detailed enough that a developer can implement it without starting from scratch.

Figma handoffs, asset exports, stakeholder updates: all of it follows a pattern. Describe yours and get a bot.

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