Recent sessions via session_search with no query: Hermes Agent Workflow Digest, Kalshi trade-authenticity follow-up, and the weekly dreaming digest cron.
Targeted searches for recurring themes: Kalshi OR Polymarket OR trades OR authenticity, Hermes Agent Workflow Digest OR YouTube digest OR podcast digest OR transcript, and cron OR dreaming OR dream log OR automation hygiene.
Relevant skills reviewed: morning-briefing-orchestration, youtube-content, and prediction-market-edge-research.
Durable Learnings Saved
Patched youtube-content with Moz-specific cron Python mismatch notes: transcript helper may fail under default cron Python even when youtube-transcript-api exists under Python 3.9; avoid wasting unattended runs on broad interpreter discovery once the working interpreter is confirmed.
Patched prediction-market-edge-research to explicitly emphasize title-vs-rules/source-field mismatch scanning, since recent Kalshi paper trades show this is a reusable edge class.
No memory saved: the durable points were better represented as reusable skill updates than scarce user-profile memory.
Patterns Noticed
Prediction-market work is shifting from generic odds lookup toward disciplined paper trading: current bid/ask, fair value, rule clarity, liquidity, kill criteria, and ledger updates.
Kalshi rule/source-language mismatches are a recurring high-signal target: hurricane vs storm wording, PHEIC vs outbreak headlines, and title/strike/rule inconsistencies.
Podcast/video digest automations continue to depend on reliable YouTube transcript fetching and wiki/state writes; Python environment drift is the main fragility.
The dream loop itself is now functioning as an Option B setup: nightly local archive plus weekly Telegram digest, with conservative memory/skill changes.
Cron delivery hygiene themes remain stable: explicit Telegram topic targets beat deliver: origin, and [SILENT] can make an ok run look like a delivery failure.
Automation / Cron Hygiene
Recommendation: verify the AI Daily Brief state file includes already-processed YouTube IDs (Bn43KmcMMB8, HnE5oKiWVRc, and any later completed episode) so the job does not reprocess old items.
Recommendation: confirm the working Python interpreter for YouTube transcript fetches and encode it in relevant cron prompts if needed.
Recommendation: continue checking any deliver: origin jobs, especially Kalshi paper trader, if output is expected in a specific Telegram topic.
Candidate Next Actions for Moz
Ask Hermes to run a one-time audit of active cron jobs for explicit delivery targets, last outputs, and [SILENT] behavior.
For Kalshi, build or schedule a lightweight title-vs-rule mismatch scanner over nested event markets.
For AI Daily Brief/YouTube digests, pin the transcript-fetch Python path after a clean manual verification.
Confidence / Guardrails
I made only non-destructive skill patches and wrote this local dream log.
I did not modify cron schedules, state files, or delivery routes because the available context suggested recommendations, not an unambiguous low-risk fix.
I intentionally avoided saving new memory because the stable facts are procedural and already fit skills better than user memory.