DOCUMENT OPS
Generate AI engineering specs from approved Figma frames into Coda
On a daily run, this workflow finds newly approved Figma frames, uses AI to write a plain-English engineering spec from the design layers and variables.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule
- ActionFetch frames approved since last run from FigmaFigma
- LogicSkip frames that already have a spec page
- ActionDraft engineering spec from layers and variables with AIOpenAI
- ActionPublish spec as a Coda doc pageCoda
- OutputReturn new spec page linksCoda
What it does
Reads the structure of approved Figma frames — layers, text, and design variables — and drafts a readable engineering specification for each one. Instead of engineers reverse-engineering intent from pixels, they get a written description of components, states, spacing tokens, and edge cases, published straight into Coda.
When to use it
Use it when designs ship without written specs and engineering keeps asking clarifying questions days into a build. Best for teams that want a consistent spec format generated automatically rather than relying on designers to write docs.
How it works
- 1A daily schedule kicks off the run each morning.
- 2The workflow queries Figma for frames approved since the last run and pulls their metadata and variable definitions.
- 3For each frame, OpenAI drafts an engineering spec covering components, interaction states, tokens, and likely edge cases.
- 4A logic step skips frames that already have a spec page to avoid duplicates.
- 5Each spec is written as a new Coda page and linked from the matching handoff checklist row.
- 6The list of new spec page links is returned for the team.
Set it up
What you configure once, before turning it on.
- 1Connect FigmaFiles, frames, comments, assets.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect CodaDocs, packs, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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