Clear answers on fit, workflow type, security posture, and how to evaluate the product without adding friction.
STILL EVALUATING?
Read these if you want the longer answer on why conversation matters, what a trustworthy output should look like, and why weak logic breaks automation before bad code does.
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
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
Process visibility is not decision clarity
Most automation failures are diagnosed at the code, tool, or AI layer. The deeper failure is older: teams automated a cleaned-up story about the workflow before they extracted the real decision logic.
Best first takeaway
Why many teams automate the picture instead of the rules
Use the free plan when you want to see the product work on something real, then pay when the product earns it.