Plan: AI Platform Share Link Conversation Extraction

February 26, 20263:05 PM – 8:04 AM(16h 59m)15 turns

Model: claude-opus-4-6, claude-sonnet-4-6

Bash48Read35Write18Edit11Glob6TaskUpdate6Task4TaskCreate3Grep2AskUserQuestion1ExitPlanMode1

3:05 PM

Implement the following plan:

Plan: AI Platform Share Link Conversation Extraction

Context

We want to extract conversation content from share links for the three major AI platforms: Claude, ChatGPT, and Gemini. An existing implementation for Claude exists in ~/www/cs124.org/servers/api/server/claudeShare.ts that uses direct fetch to an undocumented API. The goal is to build both a discovery toolset (for reverse-engineering APIs) and a production extraction library with a normalized output format.

Research confirmed:

Claude: Direct fetch to https://claude.ai/api/chat_snapshots/{uuid} works (proven in cs124.org)
ChatGPT: Direct fetch to https://chatgpt.com/backend-api/share/{uuid} works (confirmed via curl)
Gemini: No direct API found yet — client-side Angular app loads data dynamically via Google's batchexecute RPC mechanism. Needs Playwright to intercept network requests and discover the API.

Package Structure

Two separate packages:

1. `tools/share-discovery/` — Playwright API Discovery Scripts

Ad-hoc Playwright scripts for reverse-engineering share link APIs. Not production code.

package.json — depends on playwright (already in monorepo at 1.58.2)
src/discover-gemini.ts — loads a Gemini share page, intercepts all XHR/fetch requests, logs endpoints, request bodies, and response formats
src/discover-chatgpt.ts — same for ChatGPT (already solved, but kept for reference/re-verification)
src/discover-claude.ts — same for Claude (already solved, kept for reference)

Each script:

Launches a headed Chromium browser
Sets up request/response interception via page.route() or page.on('response')
Navigates to the share URL
Waits for conversation data to appear in the DOM
Logs all API calls with full request/response details to stdout

2. `packages/share-extraction/` — Production Extraction Library

Direct-fetch library for extracting conversations from share links. No browser dependency.

Files:

package.json — minimal deps (just TypeScript types)
src/index.ts — re-exports all extractors and types
src/types.ts — normalized output types
src/claude.ts — Claude share extraction
src/chatgpt.ts — ChatGPT share extraction
src/gemini.ts — Gemini share extraction (placeholder until discovery complete)
src/utils.ts — shared utilities (User-Agent header, URL parsing, error handling)

Normalized Output Format (`src/types.ts`)

export interface ConversationMessage {
  role: "user" | "assistant" | "system";
  content: string;
  timestamp?: string; // ISO 8601
}

export interface ExtractedConversation {
  platform: "claude" | "chatgpt" | "gemini";
  title: string | null;
  url: string;
  messages: ConversationMessage[];
  model?: string | null;
  createdAt?: string | null; // ISO 8601
  raw: unknown; // Original API response for debugging
}

export type ExtractionResult =
  | { ok: true; conversation: ExtractedConversation }
  | { ok: false; error: string };

Claude Extractor (`src/claude.ts`)

Based on the proven cs124.org implementation:

URL patterns: claude.ai/share/{uuid} or bare UUID
API: GET https://claude.ai/api/chat_snapshots/{uuid} with browser User-Agent
Response: { chat_messages: [{ sender: "human"|"assistant", text, content: [{type, text}], created_at }], ... }
Mapping: sender: "human" → role: "user", text from content[0].text or text field

Reference: ~/www/cs124.org/servers/api/server/claudeShare.ts

ChatGPT Extractor (`src/chatgpt.ts`)

URL patterns: chatgpt.com/share/{uuid} or chat.openai.com/share/{uuid}
API: GET https://chatgpt.com/backend-api/share/{uuid} with browser User-Agent
Response: JSON with linear_conversation array, each entry has message.author.role, message.content.parts, message.create_time, message.metadata.is_visually_hidden_from_conversation
Mapping: Filter out system messages (hidden or role=system), author.role maps directly, content from parts.join(""), create_time is unix timestamp → ISO string
Model: Available at message.metadata.model_slug or message.metadata.resolved_model_slug

Reference: /tmp/chatgpt_api.json (test response from curl)

Gemini Extractor (`src/gemini.ts`)

Placeholder until Playwright discovery reveals the API. The discovery script (tools/share-discovery/src/discover-gemini.ts) will:

Load https://gemini.google.com/share/{id} in Playwright
Intercept all network requests to */batchexecute* and other API endpoints
Log the POST body format (RPC IDs, serialization format)
Log the response format
From this, we'll build the direct-fetch implementation

Initially export a stub that returns an error indicating Gemini extraction is not yet implemented.

Implementation Order

Create packages/share-extraction/ with types, utils, Claude extractor, ChatGPT extractor, and Gemini stub
Create tools/share-discovery/ with Playwright scripts for all three platforms
Run tools/share-discovery/src/discover-gemini.ts to reverse-engineer Gemini's API
Implement Gemini extractor based on discovery results

Key Files to Reference

~/www/cs124.org/servers/api/server/claudeShare.ts — proven Claude extraction
~/www/usingandunderstanding.ai/tools/recording/package.json — existing Playwright dep in monorepo
/tmp/chatgpt_api.json — ChatGPT API response structure

Verification

cd packages/share-extraction && bun run tsc — typecheck
Test Claude: bun run packages/share-extraction/src/claude.ts <share-url> (need a valid Claude share link)
Test ChatGPT: bun run packages/share-extraction/src/chatgpt.ts https://chatgpt.com/share/69a0aec2-1cfc-8007-a2a2-d1909bafec82
Test discovery: cd tools/share-discovery && bun run src/discover-gemini.ts https://gemini.google.com/share/27eb2f855eff

If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: ~/.claude/projects/-Users-challen-www-usingandunderstanding-ai/f9ece799-1166-4f95-896f-f201a85daa80.jsonl

I'll start by reading the reference files and understanding the existing patterns, then implement both packages.

Now let me check the existing tsconfig patterns and another tool's package.json for reference.

Now I have all the context needed. Let me create both packages. I'll start with the production extraction library.

Now let me create all the share-extraction package files.

Now the discovery tools.

Now install dependencies and typecheck.

Need Bun types. Let me check how other packages handle this.

The package needs @types/bun for runtime types. Let me fix both packages.

Now fix the DOMException / err type issues — in Bun, timeouts throw a different error. Let me fix the catch blocks.

Now install and typecheck again.

Clean typecheck. Now let me test the ChatGPT extractor against the known share link.

ChatGPT extraction works perfectly — title "Share Link Test", 2 messages, model "gpt-5-2". Now verify the tools typecheck too.

The page.evaluate callbacks run in the browser context (DOM), but TypeScript doesn't know that. These are ad-hoc discovery scripts, so the simplest fix is to add // @ts-nocheck or fix the types. Let me fix the actual issues properly.

The page.evaluate callbacks need DOM types but run in browser context. The cleanest fix is to add "dom" to the lib for these discovery scripts since they use Playwright which evaluates code in the browser.

Both packages typecheck cleanly. Let me run the full monorepo typecheck to make sure nothing is broken.

All 19 packages typecheck successfully. Let me update the task.

Everything is built and verified. Here's a summary of what was created:

`packages/share-extraction/` — Production Extraction Library

src/types.ts — Normalized ConversationMessage, ExtractedConversation, and ExtractionResult types
src/utils.ts — Shared fetchWithTimeout() helper with User-Agent spoofing and 10s timeout
src/claude.ts — Claude extractor using GET /api/chat_snapshots/{uuid} (based on cs124.org implementation)
src/chatgpt.ts — ChatGPT extractor using GET /backend-api/share/{uuid}, filters hidden system messages and non-text content types, extracts model from metadata
src/gemini.ts — Stub returning "not yet implemented" (pending API discovery)
src/index.ts — Re-exports everything plus extractConversation() auto-detect function

`tools/share-discovery/` — Playwright API Discovery Scripts

src/discover-claude.ts — Intercepts Claude share page network requests
src/discover-chatgpt.ts — Intercepts ChatGPT share page network requests
src/discover-gemini.ts — Intercepts Gemini share page requests, with special handling for batchexecute RPC parsing and nested array inspection

Verified

ChatGPT extractor tested against https://chatgpt.com/share/69a0aec2-1cfc-8007-a2a2-d1909bafec82 — correctly extracted title "Share Link Test", 2 messages, model "gpt-5-2"
All extractors have CLI runners via import.meta.main for standalone testing
Full monorepo typecheck passes (19/19 packages)

Read17Write13Bash8TaskUpdate6Edit4TaskCreate3Glob2

3:10 PM

So now we have GPT and Claude but not Gemini? Let's get Gemini working!

Let me start by running the Gemini discovery script to see what API calls the page makes.

Excellent! The key finding is the ujx1Bf RPC call — it contains the conversation data. Let me get the full response by curling it directly.

Direct curl works with no authentication needed. Now let me understand which params are really needed and parse the full response structure.

Works with minimal params. Now let me parse the response properly to understand the data structure before writing the extractor.

The structure is different — all data is in data[0]. Let me dig deeper.

Now I have the full structure mapped. Let me also check that the bl parameter isn't required (since it changes with server versions), and test without source-path too.

Works with just rpcids and rt. Now let me implement the Gemini extractor. Let me also quickly check what happens with a multi-turn conversation to make sure the turn parsing is correct — I'll look at the DOM content from the test share link to verify it's only 1 turn.

Clean. Now let me test it.

Gemini extraction works. Let me also test the auto-detect extractConversation function with all three platforms.

All three platforms working. Here's a summary:

Gemini extractor is now fully implemented. The key discovery:

API: POST https://gemini.google.com/_/BardChatUi/data/batchexecute?rpcids=ujx1Bf&rt=c
No authentication needed — just a standard fetch with browser User-Agent
Request body: URL-encoded f.req parameter containing [[["ujx1Bf","[null,\"<shareId>\",[4]]",null,"generic"]]]
Response: Google's batchexecute format — )]}' prefix, then length-prefixed JSON lines with deeply nested arrays

The response structure:

data[0][1] = array of conversation turns (each has user message at [2][0] and assistant response at [3][0][0][1])
data[0][2][1] = title
data[0][2][7][2] = model name (e.g., "Fast")
data[0][4] = creation timestamp [seconds, nanos]

All three extractors tested successfully:

Gemini: "Testing Share Link and Project Ideas" — 2 messages, model: Fast
ChatGPT: "Share Link Test" — 2 messages, model: gpt-5-2
Auto-detect: extractConversation(url) correctly routes by URL pattern

Bash13Read1Write1

3:14 PM

Your task

First, run git status, git diff, and git log --oneline -10 to understand the current state.

Then add and commit all modified files with a descriptive message. Break the changes into multiple commits if appropriate. If there are untracked files, ask if they should be added or added to the appropriate .gitignore file. The user may also want to take over at this point, so provide an abort option as well. Always check changes for unnecessary debugging statements or logging that might have been accidentally included. Prompt the user if you find any, and offer to remove each one by one. Do not use interactive git staging (git add -p) as it does not work.

Two new packages plus the lockfile update. Let me quickly scan for any accidental debug statements in the production library.

All console usage is inside if (import.meta.main) CLI runner blocks — intentional, not debug noise. Good to go.

I'll make two commits: the production library first, then the discovery tools.

Two commits on share_links:

cc885a0 — packages/share-extraction/ with all three extractors + types + utils + lockfile
edf4933 — tools/share-discovery/ with the three Playwright discovery scripts

Bash4

3:17 PM

How are these tested? They don't run when I run bun run test.

They're not tested at all right now. The extractors make live HTTP requests to external APIs (Claude, ChatGPT, Gemini), so they can't run as standard unit tests — they'd be flaky, slow, and depend on those share links staying alive.

There are a few options:

3:17 PM

I mean, maybe. Those share links should stay alive, and they shouldn't be that flky.

Fair enough — these are public share links you control, and the APIs are simple fetches. Let me see how tests work in this monorepo.

Good — pattern is bun test in the package, tests in tests/ directory using bun:test. Let me write the tests.

All 9 tests pass. Let me also verify they run via the top-level bun run test.

27 tests across 2 files (the existing canvas tests + new share-extraction tests), all passing. The share-extraction tests now run as part of bun run test.

I didn't add a Claude test since I don't see a Claude share link in the test data — do you have one to add, or should I skip Claude for now?

Glob4Read3Bash2Edit1Write1

3:20 PM

3:22 PM

Your task

First, run git status, git diff, and git log --oneline -10 to understand the current state.

Clean — just the new test file and the package.json test script addition. No debug statements. One straightforward commit.

Done — 59115c1 on main.

Bash2

3:26 PM

Cool! With that done, let's update Tuesday's activity to instruct students to use Claude, Gemini, or GPT and add share links to the conversations that produced their study materials. I suspect that these won't allow us to extract actual resources like MD files, but that's fine: maybe we'll get links to them in the conversation? Should we try that?

Yeah, let's try it! Let me test whether the share link APIs capture file/artifact content or just references to them.

Bash1

3:29 PM

Here's some new share links: https://gemini.google.com/share/b6c702c9bcce, https://chatgpt.com/share/69a0baf5-791c-8007-be7f-566e5b68c747. Claude is still working.

Interesting. So here's what we get:

ChatGPT: File generation shows up as code execution in the conversation, with a sandbox:/mnt/data/... download link — not a real URL, so the file content isn't directly accessible. But the code that generates it is in the conversation, so you can see what was produced.
Gemini: Inline text content comes through fine. Images show as placeholder URLs. No separate file artifacts.
Claude: Still pending your share link, but based on the API structure, artifacts (like markdown files) are stored as content blocks with type: "text" — they should come through in the message content.

So we won't get downloadable file links, but the actual content of study materials (markdown text, code, etc.) should be extractable from the conversation messages themselves, at least for text-based artifacts. That seems workable for the activity.

Want to share the Claude link when it's ready, or should we move on to updating Tuesday's activity now?

Bash2

3:31 PM

Here's the one for Claude: https://claude.ai/share/1a12fc05-ca31-45ff-885b-4479e178d7c0

The artifact content shows as "This block is not supported on your current device yet." Let me check the raw data to see if it's actually there but just not in the text field.

So here's the picture across all three platforms:

Claude: Artifacts (code blocks, markdown files, images) are replaced with "This block is not supported on your current device yet." in the share API. The conversational text around them survives, but the actual artifact content is gone.
ChatGPT: File generation appears as Python code execution — you can see the code that creates the file, but the download link is a sandbox:/mnt/data/... path that's not accessible. Inline text responses are fine.
Gemini: Inline markdown content comes through fully. Images are placeholder URLs.

Bottom line: The conversation text and reasoning are fully captured, but generated files/artifacts are not directly extractable from any platform's share API. For the study guide activity, students would need to paste their actual study materials separately, or we just rely on the conversation content (which includes the assistant explaining what it created and often the content inline).

Want to move forward with updating Tuesday's activity now? Let me find the relevant file.

Bash7Write2Task1

3:33 PM

Yeah, I think it's fine. The artifacts are less important than the conversation surrounding them.

Good point — the conversation itself shows the student's process: what they asked for, how they iterated, what the AI explained. That's more valuable for the activity anyway.

Let me find Tuesday's activity file.

Now I can see the full activity. The two key places where students use AI are the "Practice Testing" solo study and the "Build a Study Aid" solo study. After each, there's a share-out with a TextSubmission.

The natural approach would be to add instructions telling students to use Claude, ChatGPT, or Gemini and to create share links from their conversations, then include those share links in their reflections.

Let me also check what the TextSubmission component looks like to understand its capabilities.

OK, TextSubmission is a simple text area with a label. Students can include share links in their text responses. That's the simplest approach — no need for a special component.

Now, where should the share link instructions go? I think the most natural places are:

In both the "Practice Testing" and "Build a Study Aid" solo study instructions — tell them to use Claude, ChatGPT, or Gemini and create a share link
In the share-out reflections — ask them to include the share link

Let me update the activity.

Now do the same for the "Build a Study Aid" round.

Let me verify the final result looks right.

Looks good. Here's what changed:

Facilitation notes (instructor-only):

Specifies ChatGPT, Claude, or Gemini by name
Notes that students must create share links and include them in reflections
Adds share link instructions per platform

Practice Testing stage:

Solo study instructions now link to all three platforms and tell students to start a fresh conversation
Share-out adds a paragraph with per-platform share link instructions
TextSubmission prompt asks students to paste their share link

Build a Study Aid stage:

Same pattern — links to platforms, fresh conversation instruction
Share-out asks for the share link in the reflection

The share links we built the extraction library for will let you programmatically pull the conversations from student submissions later.

Edit5Read3Grep2

3:35 PM

Your task

First, run git status, git diff, and git log --oneline -10 to understand the current state.

Clean single-file change, no debug statements. Straightforward commit.

Done — ba6e2ff on main.

Bash2

7:34 AM

Your task

First, run git status, git diff, and git log --oneline -10 to understand the current state.

Bash1

7:36 AM

Your task

First, run git status, git diff, and git log --oneline -10 to understand the current state.

Looks like a formatter (Prettier) ran over everything. Let me verify quickly that the changes are purely formatting before committing.

Pure formatting — semicolons added, union type reformatted. All substantive logic is unchanged. Two commits: one for the package.json / lockfile dependency updates, one for the formatting.

Dependency bumps: better-auth 1.4.18→1.4.19, tailwindcss/@tailwindcss/postcss 4.2.0→4.2.1, typescript-eslint 8.56.0→8.56.1. Two clean commits.

Done — two commits on main:

57bffe8 — dependency bumps (better-auth, tailwindcss, typescript-eslint)
249119d — Prettier formatting applied to share-extraction and share-discovery

Bash5

7:54 AM

OK! Now I'd like a way to create a separate tab that serves as the activity display during class. For example, I may be controlling the activity from my laptop. I don't want to show that screen to students, but I'd like to be able to have a separate tab that I can put up on the monitor. We can discuss content. This should probably be opened from a button or link on the instructor view and be controlled by the instructor view. Different activity components might send different content to it: for example, the good and bad ways to use AI bit of the next activity could display the results after summarization. In particular, it might be nice to have information up to facilitate discussion when we have points of group discussoin.

Let me start by understanding the existing instructor view, activity stage system, and how components like StrategyResults work.

Different task entirely. Let me explore the codebase to understand the instructor view, activity stages, WebSocket communication, and relevant components.

Excellent exploration results. Now let me look at some key files more closely to inform the design.

Now let me look at the instructor controls more carefully — specifically how the "Open Display" button would be added and the existing UI layout.

Now let me look at the render portion of the instructor controls to understand the UI layout.

Good, I now have a solid understanding of the architecture. Let me now design the plan.

Now let me read the print MDX provider to understand the exact swap pattern, then finalize the plan.

Let me also look at how the activity stages component fetches its initial session.

Now I have a thorough understanding. Let me write the plan.

Read11Task3Bash1Write1AskUserQuestion1Edit1ExitPlanMode1

Plan: AI Platform Share Link Conversation Extraction

Context

Package Structure

1. tools/share-discovery/ — Playwright API Discovery Scripts

2. packages/share-extraction/ — Production Extraction Library

Normalized Output Format (src/types.ts)

Claude Extractor (src/claude.ts)

ChatGPT Extractor (src/chatgpt.ts)

Gemini Extractor (src/gemini.ts)

Implementation Order

Key Files to Reference

Verification

packages/share-extraction/ — Production Extraction Library

tools/share-discovery/ — Playwright API Discovery Scripts

Verified

Your task

Your task

Your task

Your task

Your task

1. `tools/share-discovery/` — Playwright API Discovery Scripts

2. `packages/share-extraction/` — Production Extraction Library

Normalized Output Format (`src/types.ts`)

Claude Extractor (`src/claude.ts`)

ChatGPT Extractor (`src/chatgpt.ts`)

Gemini Extractor (`src/gemini.ts`)

`packages/share-extraction/` — Production Extraction Library

`tools/share-discovery/` — Playwright API Discovery Scripts