PERSONAL PRODUCTIVITY

Agent-built board brief from Coda updates plus live project signals

An agent reconciles self-reported Coda team updates against live Linear and GitHub activity, flags gaps, and assembles a credibility-checked board-ready brief delivered by email.

CategoryPersonal Productivity
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDay before recurring board meeting
  • ActionPull team updates from CodaCodaCoda
  • ActionFetch issue status from LinearLinearLinear
  • ActionFetch merged-PR activity from GitHubGitHubGitHub
  • LogicReconcile claims vs signals and flag gaps
  • OutputEmail corroborated board brief via OutlookOutlook

What it does

Goes beyond what teams say they did. An agent reads the self-reported updates in Coda, then cross-references live delivery signals from Linear issues and GitHub activity to verify claims, surface silent slippage, and call out work that happened but went unreported. The result is a board-grade brief you can trust.

When to use it

Use this ahead of a board meeting or QBR when self-reported status alone isn't enough and leadership needs an independently corroborated view of progress and risk across the org.

How it works

  1. 1A schedule fires the day before the recurring board meeting.
  2. 2The agent pulls recent team updates from the Coda Team Updates table.
  3. 3It queries Linear for issue status and GitHub for merged-PR activity over the same window.
  4. 4The agent reconciles claims against signals, flagging unsupported or contradicted updates and unreported delivery.
  5. 5It composes a board-ready brief with a confidence note per workstream and emails it to the board distribution list via Outlook.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CodaDocs, packs, automations.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect GitHubRepos, issues, pull requests, actions.
  4. 4
    Connect OutlookMail, calendar, contacts.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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