Perspective
The Art of AI
A living introduction to how I define the work, direct AI through a wider system, and check what comes back.
Perspectives
Ideas, methods, and experience from the work. Explore a practical question, follow a project’s decisions, or find another way to look at a familiar problem.
25 perspectives
Subjects describe what each perspective covers. A piece can have more than one.
Intelligence · Weekly Job Intelligence
Who owns the AI system after the launch team leaves?
New enterprise AI launches emphasize embedded specialists, process context, and managed operations. The missing scale test is whether durable ownership transfers into the organization.
AI BYTS · Series
Give a good AI session the harder work
How I choose between a whole-system review, another retry and stepping away.
Perspective
When the Tool You Built On Fails You
What a bad stretch taught me about trust, dependency, and the systems I thought I owned.
Perspective
ChatGPT and Claude: A Reliability Report for Businesses Using AI
Documented interruptions, changing paid-plan terms, a research trail that disappeared from view and returned, and the cost of depending on AI for business work.
Intelligence · Weekly Job Intelligence
Supervision belongs in the AI cost model
Recent vendor research points to a cost that usage and infrastructure measures often miss: the human time required to supervise the work.
AI BYTS · Series
Ask for the question before the list
A tiny prompt change made an AI recommendation pause for one useful question before producing a list.
Intelligence · Weekly Job Intelligence
When AI follows the rule and the customer still waits
An AI assistant can obey a refund rule and leave a customer waiting. The return record must carry that unresolved case to someone who can act.
AI BYTS · Series
Turn three objects into a mystery that waits for you
Choose three ordinary objects, give them a mystery, and decide where to look next. An illustrated opening and a starting request for your own story.
Intelligence · Weekly Job Intelligence
Where an AI policy becomes a decision
What happens when an AI agent can access a system but a particular action still needs to stop? Follow a policy into the decision and its evidence.
AI BYTS · Series
Show AI what you mean by useful
An example can make your expectations easier to explain. The useful part is knowing what to carry into the next result.
Intelligence · Weekly Job Intelligence
What actually stops when you stop an AI agent?
New agent-security announcements bring a practical question into focus: whether stopping one tool also stops the work it has passed along.
Intelligence · Weekly Job Intelligence
Weekly Job Intelligence: Simplify the workflow before adding agents
Microsoft’s account of its internal AI work puts a useful sequence in view. A healthcare product role shows why that sequence has to hold up in a very different setting.
Intelligence · Weekly Job Intelligence
Weekly Job Intelligence: The work between AI and adoption
A new survey and a product strategy role point to the same practical question: who will repair the workflow around an AI tool so the tool can actually help?
Perspective
I needed to see what my skills were doing
As my collection of AI skills grew, I returned to a method from UX: mapping the work so I could understand its parts and decide what to improve.
Perspective
Why I kept correcting my AI drafts
A writing setup built from samples, conversation, and review leaves more attention for what the article needs to say.
Perspective
What the shop photographs brought back
Starting an interview with the work in front of you helps recover the decisions and circumstances a useful article needs.
Perspective
When the project outgrows the chat
Project decisions need a maintained home that people can return to after the conversation ends.
Perspective
When a useful page leads nowhere
A website review connects business purpose, content, and the paths people need to take through the site.
Perspective
When a clear AI answer misses the point
Before asking AI to continue, understand what it proposes and why that action serves the task.
Case study
RLI / Project Phoenix: Unifying workflows in a legacy bond system
Research, a shared bond workflow, and 142 annotated pages of implementation guidance.
Case study
Pride: Establishing a Shared Product System Under Delivery Constraints
Shared product decisions, components, and implementation references put into use across teams.
Case study
Sedgwick: Mapping the Service Behind an On-Demand Inspection App
Mapping field evidence through estimation and reporting to inform proposed mobile capabilities.
Case study
Mondelēz: Connecting business goals, content, and user paths
Connecting business goals, content, and user paths through research and experience direction.
Case study
U.S. Bank: Improving engagement through content and structure
Research, content, and structure decisions behind a corporate payment solutions website redesign.