Methods ·
Aperture
Aperture is Michael Joseph's upstream framing method. Before any AI system or strategy is built, it fixes the right problem, the audience it has to satisfy, the source of truth it will rest on, and what "done" actually means — so effort is never spent solving the wrong problem extremely well.
The problem it solves
The most expensive failures in AI and strategy happen before a line of work is done. A team builds a capable system that answers a question no one important was asking, or optimizes a metric the board never cared about, or produces an analysis with no agreed standard for when it is finished. The work is skilled; it is just aimed wrong. By the time that surfaces, the budget and the credibility are already spent. Aperture exists to catch it at the only point where it is cheap to fix — the beginning.
What it settles before anything is built
- The real problem. The actual decision at stake, separated from the presenting request.
- The audience. Who has to be satisfied, and what standard they hold — not the builder's.
- The source of truth. What the work will rest on, and what would make it wrong.
- The definition of done. A stated, agreed bar for completion, set before work begins rather than argued at the end.
Why it comes first
Aperture is deliberately a gate, not a suggestion. Nothing substantial gets built until it is passed, because every hour spent downstream inherits whatever the framing got right or wrong. Getting the aperture right is the highest-leverage decision in the entire engagement — and the one most often skipped in the rush to start building.
How it relates to the other methods
Aperture is the opening gate of the operating spine; Crucible is the closing one. Aperture opens it; Crucible proves it. Between them, the Epirroi Factors keep the work approvable, and Strategic Influence Architecture is the doctrine that binds all of it together.