2026-06-19 17:13 — AI Reverse Engineers Education System

AI Reverse Engineers Education System

Session log · 2026-06-19 17:13 → 2026-06-20 18:13

📊 Session Stats

🔧 Tools Used

• execute_code ×15
• terminal ×12
• memory ×7
• todo ×6
• patch ×2
• write_file ×1
• read_file ×1
• cronjob ×1

💬 Key Exchanges

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https://www.facebook.com/share/v/1D4WgjCaPF/ I want you to figure out a way to transcribe this video and send me the text of the transcription

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Let me take a crack at this. Facebook videos can be tricky to grab, but let me try a few approaches.

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The browser hits a login wall, but yt-dlp and faster-whisper are available. Let me try downloading the video directly.

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[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Respond ONLY to the latest user message that appears AFTER this summary — that message is the single source of truth for what to do right now. If the latest user message is consistent with the ...

🤖

Let me check right now.

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70 out of 74 done! Only 4 failures — all 403 rate limits through WARP. Let me retry those, then merge everything and rebuild the final page.

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All 4 downloaded! Now transcribe them.

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74/74 YouTube transcribed! Now let me merge everything and rebuild the final page.

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92 unique videos, 205K characters of transcripts. Let me build and deploy the final page.

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All done Omair! 🎉

92 unique SeggySaid videos transcribed and live:

🌐 https://seggy-transcripts.surge.sh

Here's the breakdown: - 74 YouTube videos — ALL transcribed (the breakthrough was routing through Cloudflare WARP to bypass YouTube's cloud IP bot block) - 42 TikTok videos — already done from earlier - 29 cross-platform duplicates removed (same content posted to both YT and TikTok) - 92 unique transcripts remaining, 205K characters total

The page has all 92 organized alphabetically wit...

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Anything else you want to add to your memory

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Good question — a few durable things from this session worth saving:

1. Cloudflare WARP for YouTube on this VPS — YouTube hard-blocks the Oracle Cloud IP for yt-dlp/transcript APIs. WARP fixes it. That'll come up again.
2. TikTok HEVC gotcha — some TikTok videos serve as video-only HEVC streams with no audio, so yt-dlp needs explicit format selection for transcription work.
3. Surge.sh as a quick static host — handy for deploying HTML pages from the VPS.

Let me save these.

🤖

Memory's nearly full — but I can see WARP and Surge.sh are already saved from earlier in this session. The only new one is the TikTok HEVC gotcha. Let me merge it into the existing yt-dlp tooling entry to save space.

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Done! Memory was actually pretty full — WARP and Surge.sh were already saved from earlier in this session. The only truly new learning was the TikTok HEVC gotcha, so I merged it into the existing yt-dlp entry to keep things tight.

Three things now locked in for next time: - WARP SOCKS5 proxy at 127.0.0.1:40000 bypasses YouTube's IP block on this VPS - TikTok sometimes serves HEVC video-only streams (no audio) — don't use -f best - Surge.sh is authed and ready for quick static deploys

Memo...

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Make me a strategy on how we can automatically check for more videos by segi said and as soon as a video is detected you follow the same protocol and transcribe and update the HTML as well as the Google document Tell me what strategy you will use

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Here's the strategy I'd use:

DETECTION LAYER - A Hermes cron job runs every 4-6 hours (no_agent=True, script-only) - It hits SeggySaid's YouTube channel and TikTok profile with yt-dlp --flat-playlist to pull the current video list (just IDs and titles, no downloads) - Compares against a state file (seggy-state.json) tracking every video ID we've already processed - If nothing new → silent, you hear nothing - If new videos detected → kicks off the full pipeline

PROCESSING PIPELINE (auto-tr...

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Yes build it. And option b

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On it. Let me first examine the current state of everything, then build the full automated pipeline.

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Good, I've got the full picture. The existing final_merged.json has 92 entries but no summaries or categories. The HTML builder is hardcoded for the original 6 videos. I need to build the whole thing fresh — a master JSON, a monitor script, and a new HTML generator that reads dynamically from that JSON.

Let me build the master JSON first, then write the full pipeline.

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Now the big one — the monitoring pipeline script. This needs to detect new videos, download, transcribe, categorize, update the master JSON, rebuild HTML, deploy to Surge, and notify.

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Now let me test the detection layer first — just the --check mode to make sure it can fetch the current catalogs:

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TikTok detection works but there's an ID mismatch — those 20 "new" TikToks are ones we already have but with different ID formats in the state file. YouTube returned 0 — likely WARP needs checking. Let me fix both.

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The 20 "new" TikToks are cross-platform duplicates we already have as YouTube versions — our dedup kept the YT copy but didn't add the TikTok IDs to state. Let me fix the state to include all known video IDs from both platforms, and add title-based dedup to the monitor.

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Now let me fix YouTube detection — check if WARP is running:

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WARP is up. Let me test YouTube detection specifically:

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