I read 350+ sales calls before I wrote a line of code.

Build note on the system underneath the product. Most reps prepare for the wrong call. They prepare for the company. But the company doesn't buy anything — a person does.

Before building any of it, I sat with 350+ real B2B sales conversations. Not the highlight reels, the full messy transcripts. The reps who won weren't smoother or better talkers. They were better readers of the person across the table.

So I stopped designing around what got said and started designing around who was being sold to. That became PRISM — five reads that actually move a call:

→ Personality Intelligence — how this buyer decides. We infer DISC type from their digital footprint.
→ Research Depth — funding, headcount and tech-stack signals that size the deal.
→ Insights Synthesis — stitching those signals into the objections this buyer is likely to raise.
→ Strategy Execution — the opening angle and discovery questions built for this person, not a generic script.
→ Mastery Score — all of it compressed into one number, 1 to 10, so the rep knows how ready they actually are.

The design principle underneath it: a transcript tells you what was said, never who you were saying it to. We built for the who first.

Building it in the open at nimitai.com.

For anyone turning fuzzy human judgment into a system: how do you decide what stays a raw model output versus what you compress into a single score a user will actually trust?