Why I built a "hive" of AI models to review documents instead of just picking one

Hey PH — WaxFrame launches this Tuesday (Aug 4) and I wanted to open this up before then.

The idea started from a simple annoyance: every AI writing tool picks one model and treats its opinion as the answer. But different models actually disagree with each other in useful ways — one catches structural issues, another catches tone, another catches factual gaps.

WaxFrame runs your document through a "hive" of Worker Bee AIs — ChatGPT, Claude, Gemini, Grok, Mistral, and Perplexity by default, plus Cohere, DeepSeek, Jamba, and Together AI as custom add-ins — that critique it in rounds, then a separate Builder AI synthesizes their feedback into revisions. When the hive disagrees, you get pulled in as the tiebreaker instead of one model silently overriding another.

It's a vanilla HTML/CSS/JS app — no backend, no server round-trips with your document, runs entirely in your browser with your own API keys. Free edition + a Pro version.

Curious what this community thinks: for those of you already juggling multiple AI tools for writing/editing — is "let them argue it out" more useful than "pick the best one," or does it just add overhead? Happy to answer anything before Tuesday.