Checklists¶
Actionable checklists derived from the frameworks in Blueprint for an AI-First Company. Each checklist distills a framework into concrete, checkbox-style action items you can work through before, during, or after an AI initiative. Use them as pre-flight checks, audit tools, or progress trackers.
All Checklists¶
| Checklist | Use When | Related Frameworks |
|---|---|---|
| AI Readiness Assessment | Evaluating whether your company is ready to go AI-first | AI-First vs AI-Enabled, 7 Mental Models |
| Model Selection Checklist | Choosing the right AI model for your use case | 6 Questions Before Choosing a Model, Foundation Models |
| Agent Design Checklist | Designing and building an AI agent | 7 Failure Modes of Agents, Human-AI Collaboration |
| Infrastructure Audit | Auditing your AI infrastructure for gaps and failure patterns | 5 Infrastructure Mistakes, Build vs Buy Calculus |
| Data Strategy Checklist | Building or evaluating your data strategy | Data Flywheel, Data Moats, 6 Data Strategy Mistakes |
| Governance Checklist | Establishing or auditing AI governance, risk, and compliance | Permission Model Framework, AI Governance Framework, 7 AI Risks and Mitigations |
| GTM AI Readiness | Deploying AI into go-to-market operations | 8 GTM Mistakes with AI, Automation vs Augmentation |
How to Use These Checklists¶
Each checklist follows a consistent structure:
- Title and purpose --- what the checklist covers and when to use it
- Categorized action items --- checkbox items grouped by theme, using
- [ ]syntax so you can track progress in any markdown tool - Source attribution --- links back to the frameworks and chapters each checklist is derived from
Start with the checklist most relevant to your current initiative. Items are ordered so that earlier categories inform later ones---work through them sequentially within each checklist.