Model registry
Real AI. Real models. Named.
Some of our competitors raised hundreds of millions selling "AI assistants" that turned out to be 700 humans in India. Others use real AI but won't tell you which one, so you can't tell when the model is wrong, drifted, or deprecated. We name every model that touches your data.
This page is sourced directly from the routing table in our worker (apps/worker/src/lib/llm.js). When we change a model, we update this page within the same deploy.
Text generation
Reviews, GBP posts, ad copy, blog posts, brand voice, lead scoring, voice-call grading.
Image generation
Ad creatives, landing-page imagery, GBP photos, brand asset generation.
Video generation
Ad video creative, UGC-style customer testimonials, animated explainers.
Voice
AI Receptionist (inbound call answering), outbound call automations.
Embeddings + retrieval
Brand-voice anchoring, similarity search across past content, training-data retrieval.
Quality + safety gates
Every AI output is graded before it ships. Below threshold = human review required.
Three more commitments around AI
You'll see a "Drafted by [name]" tag on any output that wasn't AI-generated. We don't pass off contractor work as AI, or AI work as a senior strategist's, ever.
Every model call we make on your behalf is logged with token count, model name, and dollar cost. You can see this in your Plan and Usage panel inside the platform. Daily spend caps prevent runaway costs from a buggy agent.
Before AI text goes to your customers (review responses, GBP posts, voice receptionist replies), we score it 1-5 against your brand voice. Below threshold = human review required, never auto-shipped.
Last updated 2026-05-03.
See also: Trust commitments · Bot-lead filtering · System status