AI Product Strategy
Internal Copilots: The Quiet AI Wins
A practical look at internal AI copilots, where they create business value, and how to start with workflows that reduce friction without adding risk.
AI Product Strategy Insights
Redstone Foundry insights on AI Product Strategy, with practical notes for technical direction, implementation risk, and durable web systems.
Category Snapshot
8 insights
Latest published:
Coverage: Apr 2026 to Jul 2026
41 min total read
AI Product Strategy
Vector Search For Marketing Sites: Is It Worth It
A practical guide to deciding whether vector search belongs on a marketing website, where it helps, and when simpler search is the better choice.
AI Product Strategy
RAG In Production: Where It Wins And Where It Breaks
A practical production guide to retrieval augmented generation, including where RAG is useful, where it fails, and how to design for trust.
AI Product Strategy
How To Cost A Claude Or GPT Integration Before Building It
A practical guide to estimating LLM API cost before build, including token usage, model tiers, retries, retrieval, evals, logging, and operating assumptions.
AI Product Strategy
Designing Guardrails For LLM Features In Production
A practical guide to LLM guardrails for production products, including data boundaries, tool permissions, review paths, testing, and ownership.
AI Product Strategy
The Smallest Useful AI Feature Worth Shipping
A focused framework for defining a minimum viable AI feature that is useful, reviewable, measurable, and safe enough for production.
AI Product Strategy
When To Add AI To A Product, And When To Wait
A practical decision guide for product teams deciding whether an AI feature belongs in the roadmap now, later, or not at all.
AI Product Strategy
AI Features That Earn Their Place In A Product
A practical framework for deciding when AI belongs in a product, where it adds value, and how to design reviewable workflows users can trust.
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