DaisyAI Research System

Internal research infrastructure for strategic intelligence, market analysis, and lead discovery.

Purpose

This system supports DaisyAI's pivot toward Forward Deploy Engineering (FDE) services by:

  1. Building deep understanding of the FDE model (Palantir-inspired)
  2. Tracking market trends in healthcare AI adoption
  3. Identifying and prioritizing potential clients
  4. Generating strategic documents for founder alignment

Directory Structure

research/
├── README.md                    # This file
├── fde-manifesto/              # Core strategy documents
│   ├── v1-draft.md            # Current manifesto draft
│   ├── palantir-analysis.md   # Palantir FDE deep-dive
│   └── differentiation.md     # DaisyAI unique positioning
├── market-intel/               # Market research
│   ├── healthcare-ai.md       # Healthcare AI landscape
│   ├── competitors.md         # Consulting comparisons
│   └── client-personas.md     # Target client profiles
├── prospects/                  # Lead pipeline
│   ├── active.md              # Current priority targets
│   ├── qualified.md           # Ready for outreach
│   ├── contacted.md           # Outreach tracking
│   └── archive.md             # Deprioritized/closed
└── sources/
    └── links.md               # Research source tracking

Skills

/fde-research <topic>

Deep research on FDE topics, competitors, or market trends. Outputs to relevant markdown files.

/prospect <command>

Lead discovery and pipeline management:

  • scan - Run discovery sweep for new prospects
  • prioritize - Re-rank active prospects
  • research <company> - Deep dive on specific target
  • status - Pipeline summary

Integration

Research outputs feed into the content marketing system (content/):

  • Palantir analysis → founder-journey pillar
  • Healthcare AI trends → ai-in-healthcare pillar
  • Client pain points → um-industry-pain pillar

Methodology

  1. Web research - Search for signals, trends, company news
  2. Structured synthesis - Organize findings into markdown
  3. Source tracking - Document all references in sources/links.md
  4. Iteration - Update documents as new information emerges

Daisy

v1

What do you need?

I can pull up the fundraise pipeline, CRM accounts, hot board, meeting notes — anything in the OS.

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