Building LogiqMoM: Lessons From Summarizing Multi-Hour Client Meetings
Why standard speech models lose action items during long consulting calls, and how we engineered an edit-before-share pipeline.
Behind the scenes · Engineering Journal
Behind the scenes: what worked, what failed, and practical lessons from shipping AI for financial and professional-services firms.
Why standard speech models lose action items during long consulting calls, and how we engineered an edit-before-share pipeline.
Why generic benchmark scores don't matter in financial paperwork, and how we measure precision, recall, and field confidence.
Most AI experiments stall because teams test on clean prompts instead of messy production edge cases with strict evaluation.
Practical notes on document extraction, evaluation benchmarks, and LLM architecture. No marketing fluff.
We respect your privacy. Unsubscribe at any time.
Schedule a technical discussion with one of our lead engineers.