AK Adib Kadir

Field notes on enterprise AI
and the engineering factory

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#ai-for-employees

5 posts

  1. 01 article ai-for-employees / governance AI for employees: shadow AI is a demand signal, not a crime wave The second layer of enterprise AI is workforce enablement. The companies that win it treat unsanctioned AI use as product feedback for the internal platform.
  2. 02 tool tool-brief / product Articos and the synthetic user research bet AI user research in about 30 minutes with synthetic interviews and no recruitment. Fast and cheap, if you understand exactly what it cannot tell you.
  3. 03 article analytics / data How to Make Product Decisions Faster With Trusted Metrics Cut decision time by design: learn how analytics becomes a product, build a 10 to 30 metric spine, and set data SLAs so teams trust numbers and move fast.
  4. 04 article velocity / ownership PM, Dev, QA Are Merging: Meet the Rise of the Product Engineer Uncover how AI merges PM, dev, and QA into a single product engineer. Learn to specify user needs, criteria, and metrics to accelerate delivery.
  5. 05 article analytics / cdp Stop Paying for Duplicate Analytics: Fix Collection First Fix inconsistent analytics by consolidating event collection with a CDP, adding governance, and restoring trust so teams can decide faster.