AI Reply Translator

Turn verbose AI agent replies into scannable, structured summaries for humans

Problem

Developers complain that reading what AI coding agents say is exhausting: nested explanations, filler, and you have to re-read to extract useful info. When AI writes a project and you ask it to debug, the conversation reading cost outweighs writing code.

Solution

A post-processing layer for agent replies: reads CLI output or pasted text and compresses it into a "Conclusion / Suggested Actions / Needs Confirmation" card. Supports one-click follow-up and sends confirmations back to the agent. Focus is reading efficiency, not generation.

Users

Heavy developers using Claude Code, Codex CLI, Cursor daily

MVP

Paste or clipboard read of AI replies; local small model or API for structured summary; output conclusion/actions/risks; copyable follow-up templates; lightweight macOS menu bar and VS Code sidebar entry points

Revenue

One-time $19 or $5/mo subscription, free tier limited to 20 summaries/day; team plan for shared summarization rules

Why now

Coding agent usage is exploding but the human reading friction is underrated; LLM APIs are cheap enough for real-time post-processing, and indie devs can validate fast