Renigma
Preserve what matters. Inspect what changes.
A workbench connecting language, context, operations, scenarios, evidence, and human control.
Explore the project study01 / Intent → specification
Before choosing a solution, establish the decision it should support and the conditions that would make it useful.
Describe the current situation in the language of the people doing the work. Identify where different terms refer to the same thing—or the same term hides different assumptions.
Separate the desired outcome from a proposed implementation. Record constraints, acceptance conditions, and questions that still require a human answer.
Give each important requirement an observable example. Use examples to expose disagreements while changes are still inexpensive.
AI can help organize a request and draft acceptance examples. The people responsible for the process resolve ambiguity and agree what the result must mean.
For an operational data tool, visibility might mean finding wells that deserve review, comparing two signals, or understanding why a result changed. Each interpretation leads to a different interface and a different acceptance check.
A focused discovery brief: intended outcome, context, constraints, acceptance examples, and unresolved questions.
The specification earns its usefulness when business and technical readers can independently describe the same intended result.
A useful next step
Bring the outcome, the context, and the constraints.
We’ll start by defining a useful next question.
Request first. Scope and next steps follow review.
Explore a fictional customer request, missing information and a changed requirement. See why current approval and passing checks matter.
Try the request-to-delivery demonstration →