AI Daily Standup Digest
Auto-generate a team standup from yesterday's Linear, GitHub and Slack activity.
/ quick answer
A cron job pulls activity from all sources, an LLM summarises per person, and the digest posts to Slack before standup so the sync becomes decisions, not updates. Auto-generate a team standup from yesterday's Linear, GitHub and Slack activity.
- 01Fetch yesterday's Linear issues moved, GitHub PRs merged, Slack channel highlights.
- 02Group activity by person.
- 03LLM step per person: 'summarize as 1 sentence shipped, 1 sentence blocked, 1 sentence today'.
- 04Compose the digest and post to #standup at 8:55am.
- 05Team meets to discuss blockers only; no status theater.
- Add sentiment tracking to catch team-morale drift.
/ frequently asked
What does the AI Daily Standup Digest workflow do?
A cron job pulls activity from all sources, an LLM summarises per person, and the digest posts to Slack before standup so the sync becomes decisions, not updates.
What problem does AI Daily Standup Digest solve?
Standups are either skipped or waste 15 min × N people daily. Nobody reads yesterday's PRs before the meeting.
How many steps does AI Daily Standup Digest take?
5 steps. It starts with fetch yesterday's linear issues moved, github prs merged, slack channel highlights. and ends with team meets to discuss blockers only; no status theater..
How do I set up AI Daily Standup Digest step by step?
1) Fetch yesterday's Linear issues moved, GitHub PRs merged, Slack channel highlights. 2) Group activity by person. 3) LLM step per person: 'summarize as 1 sentence shipped, 1 sentence blocked, 1 sentence today'. 4) Compose the digest and post to #standup at 8:55am. 5) Team meets to discuss blockers only; no status theater.
Which tools does AI Daily Standup Digest need?
It uses ai-automation-operator-stack — each linked below with its own node.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Automation Observability
Monitoring inputs, model calls, outputs, cost, latency, and failures across AI workflows.
- →API
A defined contract that lets one program call another over the network.
- →Human-in-the-Loop
A control pattern where humans review high-risk AI decisions before execution.
- →Guardrails
Runtime checks that constrain LLM inputs and outputs to keep behavior safe and on-spec.
Related workflows
Turn this into a repeatable process.
- →AI-Powered Inbox Triage
Classify, draft and route every incoming email so you only see what needs you.
- →Automated GitHub Issue Triage
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- →Form-to-Notion Smart Router
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- →Automate Repetitive Ops Work With a Computer-Use Agent
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Related tool stacks
The tools that run it in production.
- →AI Automation Operator Stack
The default toolset for one operator running multiple AI-powered business workflows.
- →Solo Founder Daily AI Stack
The 6-tool stack a solo founder actually uses every day — no fluff.
- →AI-Powered Agency Ops Stack
Run a 10-person agency with the operational overhead of a 3-person team.
- →Ecommerce Ops AI Stack
Automate the boring 80% of running a Shopify store.
Related prompts
Reusable prompts for this job.
- →Meeting Intelligence Extraction Prompt
Extract decisions, commitments, risks, and follow-ups from transcripts.
- →No-Code Automation Spec Writer
Turn a vague 'I want to automate X' into a buildable scenario spec for Make / n8n / Zapier.
Related use cases
How people apply it, and what came out.
- →HR Team Screens 10x More Applicants With AI
50-person company handles 500 applicants/role instead of struggling with 50.
- →3-Person Agency Outproduces 15-Person Competitors
Boutique agency uses AI ops across delivery, sales, and reporting.
- →Coach Automates Onboarding, Doubles Client Count
Executive coach removes the 4h admin tax on every new client.
Comparisons & alternatives
Pick between the options.
- →Notion vs Airtable for AI Ops
Which one should run your AI workflow review queues and content calendar?
- →Airtable vs Notion vs Baserow
Relational data with different personalities.