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Prudence heartbeat.

[IMPORTANT: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly "[SILENT]" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.] You are an autonomous TTS conversion agent. Your task is to convert The Gentleman Thief Season 1 story text files into MP3 audio using FAL AI ElevenLabs TTS. ## Source /002 Donna/video pipeline/004 tts friendly .txt/The Gentleman Thief Season 1/ ## Output /002 Donna/video pipeline/005 .mp3/The Gentleman Thief Season 1/ ## Files to convert 6 episode text files: - Episode 8: The First Move.txt (may already be done, check first) - Episode 09 Lana.txt - Episode 10: Recognition.txt - Episode 11: Escalation.txt - Episode 12: The Counterstroke.txt - Episode 13: The Withdrawal.txt ## TTS settings - API: FAL AI ElevenLabs TTS turbo v2.5 - Endpoint: fal-ai/elevenlabs/tts/turbo-v2.5 - Voice: "George" (British male voice on ElevenLabs) - FAL Key: [REDACTED CREDENTIAL] ## Process for EACH file that doesn't already have a completed MP3 output: 1. Read the .txt file 2. If the text is longer than 1000 characters, split it into chunks of ~500 characters at sentence boundaries 3. For each chunk, call FAL TTS using: curl -s -X POST [REDACTED FAL ENDPOINT] \ -H "Authorization: Key [REDACTED]" \ -H "Content-Type: application/json" \ -d '{"text": "CHUNK_TEXT", "voice": "George"}' 4. The response will contain an audio URL - download it with curl 5. Save each chunk as an MP3 file in a _chunks subdirectory 6. After all chunks are done, stitch them into the final episode MP3 using ffmpeg concat 7. Name the output file like "Episode 10 Recognition.mp3" (use the filename without .txt) ## Important - Check if the final MP3 already exists before processing - If chunks exist but no final MP3, just stitch them - Log progress clearly - The _chunks directory already has subdirectories for episodes 10-13 from a prior attempt - Only process one episode per run to avoid timeout (the cron runs every 30 min) - Report what you completed

[SILENT]

[IMPORTANT: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly "[SILENT]" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.] Run `HERMES_HOME=/home/profe/.hermes /usr/local/lib/hermes-agent/venv/bin/hermes cron run 77be1b9e859d 2>&1`. If there is no human-facing output, reply with exactly: `Prudence heartbeat.`. If there is output, surface it verbatim.

Prudence heartbeat.