Quick Answer
For search, voice, and "just tell me what to do".
A knowledge business needs inventory management just like a physical business - but for ideas. This means systems for capturing, categorizing, maturing, and deploying ideas. AI enables sophisticated idea inventory management: tracking concept development, identifying connections, flagging ready-for-production ideas, and suggesting combinations. Systematic idea management produces more products with less friction.
Key Takeaways:
- Ideas need management systems like physical inventory
- Categorization enables retrieval and connection
- Maturity tracking shows which ideas are production-ready
- AI can manage complex idea inventories
- Systematic approaches beat sporadic inspiration
Playbook
Create a capture system for all ideas
Develop categories that match your product types
Track idea maturity from raw to production-ready
Use AI to identify connections and combinations
Regular inventory review and pruning
Common Pitfalls
- Capturing without organizing
- Complex systems that discourage capture
- No maturity assessment of ideas
- Ignoring idea connections and combinations
Metrics to Track
Inventory size and growth rate
Ideas at each maturity stage
Conversion rate from inventory to products
Connection identification accuracy
Time from raw idea to product
FAQ
What inventory system should I use?
Something you'll actually use. Start simple (even spreadsheets work), then add sophistication as your inventory grows. Capture matters more than system.
How do I categorize ideas?
By topic, product type, audience, or maturity level. Start with one dimension; add others as needed. AI can suggest categories from your existing ideas.
How long should ideas stay in inventory?
Until they're used, combined, or clearly irrelevant. Periodic review keeps inventory fresh. Some ideas need years to mature; that's okay.
Related Reading
Next: browse the hub or explore AI Operations.