Present to a client

All the measurement in the world is worthless if you cannot show it. The goal is not to impress with jargon, it is to make a decision easy. A good presentation is short, concrete, and honest about the trade-off.

The structure that works

The problem, in their words. One sentence on what is painful today, with their cost attached.
What you built. One paragraph, no jargon: what it does, where it runs, who uses it.
The numbers. The before/after, and the honest comparison to the cloud. A table, not a wall of text.
The limits. What it does not do, where a human still reviews, where cloud is still better. Say it before they ask.
The decision. What you recommend, and what it would take to move forward.

The tone

Numbers, not adjectives. "90% accurate" beats "very reliable."
Own the limits first. The client will find them anyway; better they hear them from you.
No demo-first. A live demo can fail and proves only the happy path. Lead with the measured results, then offer the demo.

Expertise shows in the details

The moment that separates you from "a guy who wired a RAG" is when you can answer the follow-ups: why this model, why this quant, what happens at high volume, what breaks. Those answers all live in your trace. The evaluation you kept is the backbone of the pitch.

The point

You are not selling enthusiasm for local AI. You are selling a measured outcome, with the numbers and the limits on the table. That is what "expertise by the numbers" means in front of a client, and it is the thing that earns trust instead of asking for it.

Keep the presentation as disciplined as the evaluation: short, honest, and ending in a clear decision.