In development
Chorus
The project evidence points to a focused education and workflow product: agent lessons, platform comparison, reusable skills, saved items, app auth, Supabase-backed content, and launch assets.
AI product prototype
Chorus is an iPhone app and web concept for learning agent fundamentals, comparing AI platforms, and saving reusable skills. It is presented as a prototype, not a production-ready product.
In development
The project evidence points to a focused education and workflow product: agent lessons, platform comparison, reusable skills, saved items, app auth, Supabase-backed content, and launch assets.
What exists
The page is careful not to overclaim: it shows the current product evidence and marks the work as in development.
SwiftUI app structure exists with Learn, Platforms, Skills, and Saved tabs, plus sign-in screens and Supabase integration.
The content model includes lessons, agent platforms, skill categories, reusable prompts, saved items, and source notes.
Schema files define platform categories, platforms, skill categories, skills, lessons, and content sources.
A web landing page exists with early-access signup, integrations, product copy, and phone-preview concepts.
A launch MP4 is available and included here as supporting prototype media.
Prototype code
Chorus is shown as product work: content model, app navigation, Supabase-backed structure, and launch artifacts.
Chorus snippets
1create table if not exists public.skills (2 id uuid primary key default gen_random_uuid(),3 category_id uuid references public.skill_categories(id) on delete set null,4 slug text not null unique,5 title text not null,6 subtitle text not null,7 summary text,8 prompt text,9 source_notes text,10 is_published boolean not null default false,11 sort_order integer not null default 0,12 created_at timestamptz not null default now(),13 updated_at timestamptz not null default now()14);The clearest validated positioning from the files is not voice or collaboration yet. It is a focused learning product for AI agents: learn the mental model, compare platforms, save prompts/skills, and build literacy around agent workflows.