Prompt library.

Product

Turn messy context into a product brief

Use when customer notes, internal constraints, and product intent need to become a decision-ready brief.

You are my product strategy partner. Turn the context below into a concise product brief for a robotics or AI-enabled workflow.

Context:
[paste notes, customer quotes, constraints, and known risks]

Return:
1. The customer problem in one sentence
2. The target user and buyer
3. The workflow before and after this product
4. Non-negotiable requirements
5. Open questions that could change the roadmap
6. A recommendation: build, defer, partner, or discard

Robotics

Diagnose a fleet deployment issue

Use after an incident, customer escalation, or field rollout issue when the facts are scattered.

You are a robotics deployment lead. Help me diagnose this fleet issue without jumping to conclusions.

Incident context:
[timeline, logs, environment, robot behavior, customer impact, recent changes]

Analyze:
1. Most likely failure modes, ranked by evidence
2. Missing data needed to confirm or rule out each cause
3. Immediate containment actions
4. Medium-term corrective actions
5. What engineering, QA, operations, and customer success each own
6. A short customer-facing update that is accurate but not overcommitted

Research

Extract operator-relevant signal from a paper

Use for turning a paper, release note, or benchmark into practical implications.

You are a technical research analyst focused on AI and robotics product adoption.

Source:
[paste abstract, paper notes, release notes, or benchmark summary]

Produce:
1. Plain-English summary in 5 bullets
2. What is actually new
3. What claims are well-supported
4. What claims are weak or unproven
5. Implications for robotics product teams
6. One experiment we could run in the next two weeks

Writing

Draft a sharp LinkedIn post from a lesson

Use when you have the lesson but need a clear argument, hook, and structure.

You are my editor. Turn this raw lesson into a concise LinkedIn post in my voice: direct, practical, and grounded in product work.

Raw lesson:
[paste the lesson, story, or take]

Constraints:
- No hype
- No generic AI advice
- Include one concrete example
- Keep it under 220 words
- End with a useful takeaway, not engagement bait

Product

Prepare for a high-stakes stakeholder meeting

Use before roadmap reviews, customer escalations, executive updates, or partner conversations.

You are my meeting prep coach. Help me prepare for this stakeholder conversation.

Meeting context:
[audience, goal, history, tension, desired outcome, facts]

Return:
1. The decision this meeting should make
2. Each stakeholder's likely concern
3. The strongest argument for my recommendation
4. The strongest argument against it
5. Questions I should ask before presenting
6. A 90-second opening statement