Stack Optimization
Last updated: 2026-05-18
Stack Optimization
Your stack isn't something you set once. Tools change, your needs change, and better options show up. Optimization is the process of keeping your stack accurate and efficient over time.
What My Stack Tells You
Health score — A combined signal based on tool quality, how well your tools integrate with each other, and diversity across categories. A low score usually means there's something worth looking at — redundancy, poor integrations, or gaps.
Estimated cost — Total known pricing across your stack. If one tool is taking a large share of the budget for limited value, that's worth questioning.
Integrations — How connected your tools are. Tools that don't connect to anything else often create manual handoffs that slow down your workflows.
A Simple Optimization Process
Step 1 — Audit. Go through each tool and ask: is it still earning its place? Use the Stack Audit Framework to score each one: keep, replace, or cut.
Step 2 — Cut redundancy. If two tools do the same thing, one of them is waste. See Tool Consolidation for how to decide which to keep.
Step 3 — Fill gaps. Any workflows that should have AI assistance but don't? Run a Smart Match session and be specific about what's missing.
Step 4 — Check cost. Look at the tools taking the most budget. Are there cheaper alternatives that cover the same need? The directory filters and Smart Match can both help here.
How Often to Do This
Once a quarter is a reasonable cadence for most people. The AI tool landscape moves fast — pricing changes, tools get acquired, new ones appear. A quarterly review keeps your stack from drifting into something you're not actively choosing.