Generative AI
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
-
Google AI Engineering Interview Prep: A Practical Plan
A practical plan to prioritize coding, ML depth, system design, RAG, agents, and resume stories without memorizing a speculative question bank.
-
AI-Assisted Interview Prep Without Sounding Scripted
A practical workflow for turning your own evidence into sharper interview answers, testing them under pressure, and preserving your natural voice.
-
How to Use AI for Interview Prep Without Sounding Scripted
A practical workflow for using AI as a demanding interview coach that strengthens real stories, follow-up answers, and judgment without scripting you.
-
How Neural Networks Represent Information—and Why It Matters
A practical model of weights, activations, neurons, features, and circuits—and how to judge claims about what an AI system has learned before trusting them.
-
A Practical Path Into AI Engineering Without a CS Degree
A practical roadmap for turning domain expertise, software fundamentals, and a production-minded portfolio into a credible AI engineering candidacy.
-
How to Review Your AI Architecture and Career Story
A practical method to expose production tradeoffs, strengthen AI system design, and turn the same evidence into a credible career story.
-
How to Build a Trustworthy AI-Assisted Research Workflow
A practical workflow for using AI to collect, compare, draft, and edit academic work while keeping evidence, citations, and judgment under your control.
-
Engineering Reliable Long-Running AI Agents in Production
A practical architecture for agents that can pause, recover, verify work, control side effects, and escalate safely across extended production runs.
-
How to Build a Production-Ready AI Coding Workflow
A practical operating model for turning AI-generated patches into scoped, reviewable, tested, and reversible changes your engineering team can ship.
-
How to Build a Career as a Forward-Deployed AI Engineer
A practical guide to assessing your fit, reading ambiguous job descriptions, and building evidence for a forward-deployed AI engineering role.
-
Codex Token Cost Optimization Without Losing Useful Context
A practical model for trimming Codex context, preserving decisions, and proving token savings without creating more retries or review work.
-
A Practical Guide to Metaphors for Understanding Language Models
A practical framework for choosing AI metaphors, exposing their hidden assumptions, and translating human-sounding behavior into testable product claims.
-
How to Benchmark AI Humanizers Without Gaming the Test
A practical framework for testing AI humanizers across detector disagreement, content fidelity, writing quality, latency, and workflow fit.
-
AI Video Generation Advances: A Product Leader’s Playbook
A practical framework for turning gains in video coherence, control, and open-source access into workflows, evaluations, and sound product bets.
-
Reliable Agentic AI Architectures: A Production Blueprint
A production blueprint for agentic AI covering bounded graphs, independent verification, safe tool execution, durable state, and eval-driven rollout.
-
Claude Code for Non-Technical Professionals: A Safe Start
A practical, low-risk way to use Claude Code for file-based product work, with a bounded first project, review gates, and reusable prompts.
-
How Snapbar Turned Crisis Into an AI-Native Photo Experience Revolution
Snapbar’s reinvention shows how a mature company can turn crisis into a durable AI product strategy. The company moved from physical photo booths to a WebRTC-based…
-
Reliable AI Coding Requires Four Kinds of Control
A practical framework for controlling requirements, context, verification, permissions, and recovery when teams build software with AI agents.
-
How I Make AI Agents Speak Like Our Team: A Conversation Design Playbook That Lifts CSAT
Your AI Agent will sound like an LLM unless you intentionally design how it communicates. I share a practical conversation design playbook covering tone, response structure,…
-
Salesforce to Acquire Fin for ~$3.6B: Powerful AI Synergy, Product Strategy Takeaways
Salesforce will acquire Fin for ~$3.6B, with the deal expected to close in the fourth quarter of Salesforce’s fiscal year 2027. The announcement caps a bold…
Weekly digest
One email a week on AI products, enablement and hiring. No fluff.
Browse topics
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
Work with me
45-minute consultation on AI product strategy, GTM and PM hiring — no charge.