Sash Mohapatra
Free Lesson

Judging AI's Work Before You Trust It. Is it good enough?

60 min
Nov 4, 2026 12:00 PM

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What you'll learn

Define "good enough" for your own work

Choose three criteria from accuracy, use of your data, tone, and usability, based on what the work is for.

Test AI on real cases and rate each one pass or fail

Run a few real tasks and score every result against your criteria on a one-page scorecard.

Find where it fails and what to change

Read the scorecard for the pattern, then trace it to the instructions, the reference files, or the request.

Confirm the fix held

Make one change, run the same cases again, and see which fails turned into passes.

Why this topic matters

An AI draft can look finished and still be wrong, off in tone, or unusable as delivered. Before it goes to a client or a board, someone decides whether it's good enough. This session shows a step-by-step way to make that call: choose your criteria, test on real cases, rate pass or fail, and fix what the pattern shows.

You'll learn from

Sash Mohapatra

Sash Mohapatra

20 years at Microsoft, engineer to Director of Data & AI Sales, Capital Markets

Previously at Microsoft
Microsoft
riftlab.ai
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