ReadBetween: Semantic Conversation Coaching
Using natural language models to decode chat dynamics and suggest constructive replies.
Project Profile
Technologies
This project features automated end-to-end regression runs checking auth flows, payment syncs, and telemetry channels prior to production release.
01 / The Challenge
Miscommunications in chat threads often escalate due to emotional misinterpretation, and users lack tools to brainstorm constructive replies under pressure.
02 / Our Solution
We built an iOS app that parses pasted chat text and screenshots. Using prompt-engineered OpenAI models, the app evaluates emotional tone, decodes hidden intent, and generates objective, constructive reply paths (Reply Lab) to de-escalate friction.
03 / System Outcome
ReadBetween helped users resolve communication bottlenecks, achieving high retention rates among professional and relationship coaching cohorts.
System Architecture & Data Flow
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