Vision capture — provenance¶
notes/transcript.md is a transcript of the scoping conversation that produced Omnis. This note records where
it came from and how it was captured.
Source¶
- Conversation: Google Gemini, "App Scoping Technical Specifications Discussion"
- URL:
https://gemini.google.com/app/545cf54445afcd33 - Account: the maintainer's Google account
- Captured: 2026-09-06
- Size: 20 turns, 79,181 characters of rendered text
Status: complete¶
All 20 turns are captured. No gaps.
| Turns | Content |
|---|---|
| 0–1 | App icon configuration; the Dynamic Brand Skinning Engine |
| 2–3 | Window styling — the five pillars, and the appearance schema |
| 4–5 | Typography, layout density, audio cues, icon state machines, context menus |
| 6–7 | Behavioural forking; the SystemPersonalityPackage |
| 8–9 | The Zed terminal-native UI engine and the rendering switchboard |
| 10–11 | The settings switchboard |
| 12–13 | The terminal-grid web browser |
| 14–15 | Master specification: topology, dual-socket IPC, binary substrate, security, schema |
| 16–17 | Rust implementation skeletons |
| 18–19 | Final master architecture specification |
How it was captured¶
The first attempt used the Chrome automation extension, reading the rendered DOM in chunks because that tool truncates each read at 1,000 characters. It reached turn 15 before the extension lost its connection to the automation host and did not reconnect, leaving roughly 45,000 characters — most of the master compilation, and all of turns 16–19 — unread. Clipboard and CDP fallbacks were both unavailable: the page rejected programmatic clipboard writes without focus, and the only reachable debugging port belonged to an unrelated application.
The second attempt used the Kimi WebBridge daemon (127.0.0.1:10086) against the same browser
profile, which worked in one pass:
# 1. Open the conversation in a named session so the tabs stay grouped.
{"action":"navigate","args":{"url":"<conversation url>","newTab":true,
"group_title":"Omnis vision capture"},"session":"omnis-vision-capture"}
# 2. Extract every turn as JSON, writing curl's output straight to a file.
{"action":"evaluate","args":{"code":"(() => { const els = [...document.querySelectorAll(
'user-query, model-response')]; return JSON.stringify(els.map((e,i) => ({i,
role: e.tagName.toLowerCase(), text: e.innerText}))); })()"},"session":"omnis-vision-capture"}
The lesson worth keeping: route bulk extraction to a file on disk, never through a tool result.
Tool output is truncated (1,000 characters for the Chrome extension's JavaScript results) and
content-inspection guards reject some code-dense payloads outright — both failures are silent and
partial, which is worse than an error. Writing curl output to a file and decoding it locally has
neither limit. document.querySelectorAll('user-query, model-response') is the selector; each
element's innerText is one complete turn.
Gemini's DOM wraps each turn in Czech UI affordances — user turns are prefixed Váš pokyn followed
by a truncated preview line, model turns by Odpověď Gemini. The decoder strips these.
Ground rules¶
notes/transcript.md is non-normative regardless of how complete it is. Anything in it that should bind the
implementation must be promoted deliberately into ARCHITECTURE.md through an ADR — never by
treating the vision document as a specification.
notes/transcript.md §11 lists the points where the source is internally inconsistent or where following it
literally would be a mistake. Those are decisions, not defects; several are already tracked as D1–D10.