Athena Public vs Presto Voice

What users praise

• • Persistent memory across sessions via flat-file Markdown architecture — no context loss.
• • Hybrid retrieval (BM25 + semantic) with RRF — relevant results every query.
• • 200+ reusable protocols for debugging, shipping, ops — saves reinvention.
• • Write-back memory logs every decision for full audibility.

What frustrates them

• • Very small community means scarce support and few third-party examples.
• • Documentation is thin on key protocols like Triple-Lock and Zero-Point Codex.
• • Setup is not plug-and-play — requires comfort with Markdown and CLI.
• • No native integrations with dev tools like Slack, Jira, or VS Code yet.

What users praise

• • Vendor claims up to 95% non-intervention on drive-thru orders, saving labor costs.
• • Claims an upselling engine with 88% offer acceptance and 6% revenue lift.
• • Runs a spectrum of Voice AI models to adapt to different menus and speech patterns.
• • Has 15+ years of restaurant-industry experience and national rollout references.

What frustrates them

• • No independent user reviews or community validation of the vendor's claims.
• • Brand name 'Presto' is confused with unrelated products like canners and transit cards.
• • App Store reviews for a similarly named app cite glitches, autoload failures, and connection errors.
• • Tourists report being locked out of the related Presto transit app without a Canadian address.