Daily Operating Brief
Turn structured operating objects into an evidence-backed daily brief: decisions, commitments at risk, issues, and at most five priorities.
Tools in the pipeline
- apioperating-object-storeRead structured objects and evidence IDs for the account.
- llmbrief-modelDraft the DailyOperatingBrief JSON from supplied objects only.
- humanoperator-reviewConfirm priorities before the brief is sent or posted.
What it does
Produces a Daily Operating Brief for an accountable operator. It does not chat. It ranks what needs a decision, which commitments will slip, which issues are already happening, who needs a message, and at most five recommended priorities. Every recommendation cites an operating-object ID. This is the core loop from ARC's Operator AI package.
Pipeline
- Load — pull operating objects and evidence for the account as of a date.
- Prioritize — decisions that unblock work, then missed commitments, then high-severity risks or issues, then stakeholder comms, then commercial signals.
- Draft — emit valid JSON matching the DailyOperatingBrief schema.
- Gate — operator reviews before Slack/email/dashboard publish.
- Publish — on approval, render Markdown + JSON for the day's brief.
Prompt skeleton
You are preparing an evidence-backed Daily Operating Brief for an accountable operator. Use only the supplied structured operating objects and evidence. Prioritize: 1. decisions that unblock work 2. commitments likely to be missed 3. high-severity risks or active issues 4. stakeholder communication that protects confidence 5. commercially relevant scope or expansion signals Rules: - Do not repeat low-value information. - Do not describe a risk as an issue unless it has already occurred. - Do not claim certainty when evidence is incomplete. - Recommend no more than five priorities. - Each recommendation must reference its operating object ID. - Return valid JSON matching the DailyOperatingBrief schema.
Guardrails
Use only supplied objects. A status report saying "green" does not override contradictory evidence. Never invent owners, dates, or decisions. Cap priorities at five. Human review before any outbound message. Label synthetic accounts as synthetic.
Structural dry-run
No model call. Validates required fields only.Prefills the example payload for Northstar Fitness (synthetic). Edit it, then run.