Home / Ops / More in this area

Cloud Audio Creation with Selectable Source Layer (spec v1)

Updated Jul 06, 2026 · Affirmology_CloudAudioCreation_Spec_v1.md

Cloud Audio Creation with Selectable Source Layer (spec v1)

Written 2026-07-06 with Jeff, on the road. The goal: talk to the system (through the Atlas/Maya app or an API call) and create audios and variations ENTIRELY IN THE CLOUD, never on a laptop. And when creating, choose which source layer to draw from: the raw profile, the standard Understanding, or the deep Understanding, respectively. No em dashes.

The problem this fixes

Understanding builds and Mirror renders have been running as ad-hoc scripts on Jeff's Mac (the render/understanding chat). That ties creation to a local machine and a live connection, which failed during a road trip. HARD RULE (Jeff, 2026-07-06): all Understanding generation AND audio creation must run cloud-side, fire-and-forget. This spec is the build to get there.

The three source layers (per person)

A person's material now lives in layers of increasing depth. The creator picks which to draw from: 1. profile = the raw cosmic blueprint (Layer 0): profile.chart (all systems), transits, progressions. Least interpreted, most literal. 2. understanding = the STANDARD Understanding (Layer 1): the ~$0.15 twelve-field synthesis. Lives on profile.understanding (already built via POST /api/profile-understanding, returned by get_profile). 3. deep_understanding = the DEEP six-lens Understanding (~$0.25, ~10-12k words: Identity, Wealth, Love, Work, Timing, Shadow + synthesis). RICHEST source, wealth-reading-caliber. Currently stored only in KB for founders. NEEDS a proper per-person home.

Build 1 (backend, other/code chat's lane): give the profile a clean deep layer

• NEW column Profile.deep_understanding (JSON-in-Text), migrated the same way understanding was (db.py ADD COLUMN).
• get_profile / GET /api/profile return it.
• Extend the write path: POST /api/profile-understanding {person, understanding, depth} where depth is "standard" (writes profile.understanding, current default) or "deep" (writes profile.deep_understanding). Keeps one endpoint, resolves person as it does today (id|email|atlas|name).
• MIGRATE the founders' deep Understandings (currently in KB as "Deep Understanding (six-lens) v1" for jeff/sol) into profile.deep_understanding so ALL people use one consistent slot, not a founder-only KB.

Build 2 (backend): the cloud audio-creation endpoint

• POST /api/create-audio (team/creator-token gated), body: { person, structure, source, minutes?, tweak?, deliver? }
• person: id | email | atlas handle | name (resolve like get_profile).
• structure: the audio type/form (e.g. the_mirror, origin_soul_song, mirror_recognition, mirror_design, ...).
• source: "profile" | "understanding" | "deep" (which layer to ground the script in). THIS is Jeff's ask.
• tweak: optional free-text steer ("shorter", "warmer", "lead with wealth", "less jargon").
• deliver: email | app | both.
• Server-side pipeline, all on Render: resolve person -> pull the requested source layer -> shape the script (craft/methodology below) -> Fish render (the robust per-segment path, see Build 4) -> QC gate -> upload R2 -> deliver (email and/or publish to the person's Maya/Atlas library).
• Returns a job id; async; poll GET /api/create-audio/{job} for status + the mp3 url. Never blocks on the laptop.

Build 3 (content): port the Mirror craft/methodology into cloud generation

The endpoint is only as good as the craft it runs. Port the current, feedback-hardened Mirror method into the cloud generator (a module or the council structures), NOT left in laptop scripts: - Deliver the MIRROR PROMISE up front (promise + hook + context in the first 45 seconds; recognition PLUS how to use it). - Lead with the DISTINCTIVE non-obvious material; never open with generic HD authority ("trust your gut" for a Sacral type is generic). - Metaphors: use them freely (the wealth reading used many and they all landed); every one must LAND and be clearly DESCRIBED the moment it appears, concrete, connecting the dots; never abstract/unexplained. - Practicality and utility throughout; every insight lands in a real-life domain with a usable takeaway. - Affirmations near the end; a proper resolving close with a forward-look; never abrupt. - Accessible language, no astro-jargon, no highlights reel, no abstract sayings, no em dashes, ~1600-1750 words for a 10-minute reading. - FORMS to expose as structures: mirror_recognition (leads with the single truest distinctive thing) and mirror_design (utility-forward: how you are built to run yourself). Source spec + feedback: Affirmology_Mirror_v2_Methodology_v1.md, Affirmology_MirrorConcepts_Five_v1.md, and the A/B/C listener feedback (2026-07-06).

Build 4 (backend reliability): fix the audio concat bug

The engine's concat_voice_segments (audio_mix.py) crashes when Fish returns one malformed/empty segment (hit twice on 2026-07-06). Port the robust path used in the workaround: render each paragraph, validate each segment (ffprobe duration > 0.15s, retry, skip if still bad), normalize each to 44100 mono, and concat via the concat demuxer. This must be in the engine so no real customer render ever dies on one bad segment.

Build 5 (app): the button

Atlas/Maya UI to call POST /api/create-audio: pick a person (self), a form, a source layer (profile / understanding / deep), an optional tweak, then "Create". Show status, then the audio in the in-app library. This is the "talk to the system and make variations" experience Jeff wants.

Net experience once built

Jeff or Sol (or any beta user) taps in the app: "Make a Recognition Mirror, draw from my deep understanding, a little shorter." The cloud generates, renders, QCs, and delivers it to their library. No laptop, no Claude running scripts, no live-connection dependency. Fire and forget.

Status 2026-07-06: SPEC for the code/backend chat. Companion to the hybrid-render and layered-understanding architecture docs. Priority infra.