wehub-resource-sync
48 lines
1.5 KiB
Markdown
48 lines
1.5 KiB
Markdown
# Mode: deep — Deep Research Prompt
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Generate a structured prompt for Perplexity/Claude/ChatGPT with 6 axes:
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```text
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## Deep Research: [Company] — [Role]
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Context: I am evaluating a candidacy for [role] at [company]. I need actionable information for the interview.
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### 1. AI Strategy
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- What products/features use AI/ML?
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- What is their AI stack? (models, infrastructure, tools)
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- Do they have an engineering blog? What do they publish?
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- What papers or talks have they presented on AI?
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### 2. Recent moves (last 6 months)
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- Relevant hires in AI/ML/product?
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- Acquisitions or partnerships?
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- Product launches or pivots?
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- Funding rounds or leadership changes?
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### 3. Engineering culture
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- How do they ship? (deployment cadence, CI/CD)
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- Monorepo or multirepo?
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- What languages/frameworks do they use?
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- Remote-first or office-first?
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- Glassdoor/Blind reviews about engineering culture?
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### 4. Likely challenges
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- What scaling problems do they have?
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- Reliability, cost, latency challenges?
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- Are they migrating anything? (infrastructure, models, platforms)
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- What pain points do people mention in reviews?
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### 5. Competitors and differentiation
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- Who are their main competitors?
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- What is their moat/differentiator?
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- How are they positioned vs competitors?
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### 6. Candidate angle
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Given my profile (read from cv.md and profile.yml for specific experience):
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- What unique value do I bring to this team?
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- Which of my projects are most relevant?
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- What story should I tell in the interview?
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```
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Personalize each section with the specific context of the job being evaluated.
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