Software, systems,and the evidence between.

Build notes from SaaS, agents, automation,
simulations, and the decisions that changed
the outcome.

Selected work · An open laboratory

Things that survived
contact with reality.

Products, experiments, and decisions—with the evidence attached.

Promptyx

Can reusable prompts become a workflow, rather than a folder of text?

An open question.
A product in progress.

Open the case file

Illustrative workflow study

The question: what should happen between saving a prompt and using it again?

This sketch explores capture, refinement, and reuse. It is a design study—not a shipped-feature claim or a measured result.

Layered workflow study: Capture, Refine, Reuse, with handwritten revisions.

When agents
disagree.

Does a second opinion improve the decision—or just make it more expensive?

Two perspectives.
One decision to examine.

Open the case file

Illustrative agent study

Compare a single response with two independent responses and a review step.

A real experiment would track correctness, latency, cost, and the cases where review makes an answer worse. No benchmark results are claimed here.

Two agent pathways meet at a review step before a decision, annotated Disagreement is a signal.

Change the rules.
Watch the choice.

What changes when cooperating becomes the rational move?

A small model.
A different way to ask why.

Open the case file

Illustrative simulation study

Start with two players choosing whether to cooperate or compete. Change the incentive, then compare their choices.

The model is a thinking tool, not a prediction of real people. Assumptions and limits belong beside any eventual results.

Paper decision matrix comparing cooperation and competition with red pencil annotations.

What I explore

Every subject is another way
of asking how systems behave.

What changes when mathematics makes cooperation rational?

Follow this question

Questions, compiled.

A useful answer should
survive its assumptions.

Different questions lead to better systems.
Here are a few I keep coming back to.
Answer

The decision before the outcome is often the useful part.

Sharing the branches, trade-offs, and failed assumptions makes the work more useful than a polished victory lap.
Answer

A good prompt makes the decision criteria visible.

Useful prompts clarify the goal, context, constraints, and evidence needed—then leave room for the model to do the work.
Answer

Automate after the judgment becomes repeatable.

A clear trigger and a reviewable output matter more than removing every manual step. Some friction protects the decision.
Answer

Evidence begins where the demonstration can fail.

The setup, comparison, result, and limitations should be visible enough for someone else to challenge the conclusion.
Answer

Shorter feedback loops beat fuller calendars.

Reduce the distance between building, observing, and deciding. Movement without feedback is only activity.
Answer

Progress is a useful uncertainty removed.

A shipped feature can teach nothing; a small test can change the entire plan. Measure what the work helps you decide next.

Follow the work
while it is still changing.

Short, honest notes on what I am building, testing, breaking, and learning—sent only when there is something worth sharing.

Not ready to subscribe?Read the latest field note
CLASTRONNOTE No. 001

One useful email.
No manufactured urgency.

No posting streaks. Unsubscribe whenever you want. Privacy · Terms · Cookies