HumanTalk Score & Plain-Language Rewriter for LLMs

Help developers tortured by code-specialized models get readable, discussion-friendly LLM output back

Problem

Developers complain that since this year all models have become coding-specialized: when discussing problems, the output is full of weird wording, grammar, and pauses that are hard to read. GPT has long been criticized for not speaking plainly, Anthropic has become less human since 4.7, Grok and GLM go straight to jargon nobody actually uses, and even DeepSeek changed after its 0910 update with no way to roll back.

Solution

A lightweight tool that takes any model output, scores its human-talk index, and rewrites it into a natural, readable discussion tone while preserving meaning and technical accuracy. Supports side-by-side model comparison so you can instantly see which model is better for talking, not just coding.

Users

Developers, PMs, and researchers who need to discuss, write, and translate with LLMs rather than just generate code.

MVP

Paste any model output and get a 0–100 human-talk score; one-click rewrite into natural tone; side-by-side comparison of two models on the same prompt; browser extension entry point; bring-your-own API key so no content is stored.

Revenue

Free tier plus subscription for monthly rewrite and comparison quotas; optional BYOK or pay-per-token.

Why now

Models are fully coding-specialized and public leaderboards only test coding ability, making conversation quality an overlooked niche. A solo developer can start with a small frontend plus prompt engineering.