RuleFoundry keeps the process simple: scope the workflow, run the interview, and review the outputs before engineering starts. The interview is where the logic gets clarified, not just recorded.
The workflow stays simple while RuleFoundry pulls out missing conditions, turns the conversation into reviewable outputs, and surfaces what still needs confirmation.
Start with one workflow, the reason it matters, the expert who knows it best, and the downstream use for the output. Even one sentence can be enough to aim the extraction.
What the brief should cover
RuleFoundry joins the conversation, asks targeted follow-up questions, and keeps driving toward the hidden thresholds, exceptions, approval logic, and dependencies that actually govern the workflow.
What RuleFoundry listens for
The outputs come back as a spec package teams can inspect, challenge, and confirm before implementation starts. The goal is clarity, not blind automation.
What teams review
This is the difference between RuleFoundry and a transcript workflow. The logic starts to structure while the conversation is happening, not after the fact.
The expert explains the work. RuleFoundry listens for the thresholds, exceptions, and undefined references that matter downstream.
The product does not wait for a transcript cleanup pass. It asks the next useful question while the expert is still in context.
Teams can see the logic becoming explicit as the interview progresses instead of waiting for a fuzzy summary at the end.
Missing branches, contradictions, and unresolved conditions become visible while there is still time to ask about them.
Example follow-up questions
Rule surfaced
If finance review flag is present, route to finance regardless of amount.
Source trace
"Then finance gets it first, regardless of amount."
Gap surfaced
Renewals may follow a different threshold model and need confirmation before automation starts.
A simple workflow on the surface gives teams a cleaner way to work through complicated reality underneath.
WHY THIS WORKS
These are the most useful essays if you want to understand why RuleFoundry behaves differently from note-taking, transcript cleanup, or generic meeting AI.
Extraction beats transcription
AI made coding cheap. It did not make judgment legible. The new bottleneck is turning tacit workflow logic into something teams can actually review before build.
Best first takeaway
Why transcripts and summaries are weaker than they look
How to pull out the real rules
Good extraction is not generic meeting hygiene. It is knowing how to turn vague expert language into thresholds, branches, gaps, and reviewable logic before the call ends.
Best first takeaway
A five-step extraction loop you can reuse on real workflows
Meetings must become logic
A good SME call should leave behind a reviewable package of rules, flow, pseudo-code, scenarios, gaps, and source trace engineers and coding agents can build from.
Best first takeaway
What a strong extraction session should actually produce
That is usually the fastest way to tell whether the product fits.