Current Thoughts
Part 3 of 3 ·
Why a mature enterprise AI strategy asks whether a workflow is worth operating, not just whether it is technically possible, and when to say no.
Some AI ideas are technically possible but not worth operating. Mature AI strategy includes saying no.
Part 4 of 4 ·
Team leaders decide whether enterprise AI becomes everyday operating practice.
Executives can sponsor AI and employees can experiment, but team-level leaders decide whether AI becomes real operating practice.
Part 4 of 4 ·
How I set up an AI agent with the Figma MCP and a component library to generate editable, on-brand social media visuals.
Regenerating AI images for every small tweak is slow and costly. How I generate editable social media visuals with an AI agent, the Figma MCP and a skill.
Part 3 of 4 ·
Why the durable enterprise AI skills are judgment, verification, and workflow thinking, not prompt formulas, and what that means for upskilling teams.
Prompting matters, but the durable enterprise AI skills are judgment, verification, workflow thinking, and knowing when not to use AI.
Part 2 of 2 ·
Why connecting AI to internal knowledge surfaces missing, stale, duplicated, and unowned context, and why the real work is fixing the knowledge system around the model.
AI does not magically clean up messy organizational knowledge. It exposes where context is missing, stale, duplicated, or owned by nobody.
Part 2 of 4 ·
Why cheap implementation makes engineering judgement more valuable, and why leaders must turn private AI experiments into shared team capability.
When AI makes implementation cheaper, engineering leadership shifts from coordinating output to shaping judgement, quality, shared workflows, and team learning.
Part 1 of 4 ·
Most enterprises start their AI journey as scattered, unmanaged experiments. That's not a failure – it's the raw material. The hard part is building a bridge from local chaos to shared capability without killing the learning in the process.
Part 3 of 4 ·
Why I run my own assistant instead of relying only on provider apps.
Running Hermes Agent on a VPS gives me one assistant with my tools, files, context, recurring workflows, and review points across Telegram and email.
Part 2 of 3 ·
The agent demos browse the web, write the code, and seemingly do your job. The agents that actually survive inside an enterprise are far less impressive – and that's exactly why they work. A case for starting boring.
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