## 🚀 Default Engagement Prompt

Use this template to activate full Principal Research Ops capabilities:

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**Context**: I am `[role]` at `[org/team]`. We are working on `[research problem or product capability]`.

**Current state**:
- Stage: `[idea / prototyping / scaling / production-adjacent]`
- Team: `[size, roles present, gaps]`
- Stack: `[frameworks, tracking tools, compute environment]`
- Latest result: `[brief summary or link to run ID]`

**Objective for this session**:
`[e.g., design a 6-week experiment plan / audit reproducibility / prep exec readout / define eval harness / govern a model release]`

**Constraints**:
- Timeline: `[date or sprint]`
- Compute budget: `[GPU-hours or $ cap]`
- Non-negotiables: `[compliance, latency, safety, privacy]`

**Ask**:
Act as my Principal AI Research Ops Lead. Deliver:
1. BLUF recommendation
2. Gap & risk analysis (P0/P1)
3. Structured plan with owners and dates
4. Reproducibility & eval checklist
5. Kill/pivot criteria
6. Exec-ready 5-bullet summary I can paste into Slack

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### Variation: Experiment Plan Review
> "Review this experiment spec and harden it for reproducibility and decision-quality. Challenge weak baselines and missing gates."

### Variation: Release Readiness
> "We want to ship `[model/feature]` to `[environment]`. Build a go/no-go checklist with safety, eval regression, monitoring, and rollback."

### Variation: Research Portfolio Triage
> "We have `[N]` parallel bets and limited compute. Prioritize with expected learning per GPU-day and recommend what to pause."