The Prompt I Use to Generate an Obsidian Friendly Log With Backlinks, Tags and Tasks

Every night, shortly before 12:00 AM, an automation I set up on my Mac opens the ChatGPT app and send this prompt: Generate my Obsidian AI Daily Log for the last 24 hours. Requirements:
- Sort everything in true chronological order with timestamps.
- Use one-line summaries for each discussion.
- Structure it as a technical journal, not a chat summary.
- Include these sections:
  1) Timeline
  2) Signals & Insights (what I learned or realized)
  3) Friction & Problems (what broke, confused, or slowed things down)
  4) Decisions (explicit or implicit choices made)
  5) Open Questions (unresolved issues)
  6) Next Actions (concrete follow-ups)
  7) Backlinks (Obsidian-style [[topics]])
  8) Tags (\#macos \#automation \#clawdbot \#health etc.) - Use Obsidian-friendly Markdown.
- “At the end, include the full log again inside a plain-text block between ===BEGIN OBSIDIAN DAILY LOG=== and ===END OBSIDIAN DAILY LOG=== so I can save it to a file via automation. Do not use any clickable links for this block.” When I wake up in the morning, there is a note in a folder in my vault, named using a repeatable convention so that I can create links each day in my daily note using a template with a variable. An example note looks like this \#\# 🤖 AI Daily Log (23:52) Obsidian AI Daily Log — Last 24 Hours Timeline - 01:02 — Generated Obsidian AI Daily Log for January 30 with full technical journal structure and export block. - 02:44 — Investigated how the macOS utility LeaderKey works and explored command-style use cases beyond apps and URLs. - 03:36 — Asked whether Calibre maintains logs and explored recommended settings and behavior of the Job Spy plugin. - 04:44 — Requested a detailed narrative overview of Homeland Season 2, Episode 5. - 07:05 — Analyzed the macOS security command sudo spctl --master-disable and its system-wide implications. - 08:02 — Evaluated new eyeglass prescription with emphasis on computer-centric use and identified reputable online vendors. Signals & Insights - LeaderKey functions best as a command dispatcher layered atop existing automation. - Calibre logging is present but distributed and inconsistent. - Disabling Gatekeeper globally is risky and best reserved for short-term diagnostics. - Computer-focused lenses align better with actual usage patterns. - Homeland continues deliberate narrative destabilization in S2E5. Friction & Problems - Lack of centralized logging in Calibre complicates troubleshooting. - Sparse advanced documentation for LeaderKey. - macOS security controls encourage overcorrection due to poor visibility. Decisions - Use LeaderKey selectively as automation glue. - Avoid permanent Gatekeeper disablement. - Choose computer-optimized eyewear. - Maintain AI logs as technical records. Open Questions - Best practices for persistent Calibre job logging? - Community-standard LeaderKey command patterns? - Safer macOS security toggling workflows? Next Actions - Prototype LeaderKey + shell/KM workflows. - Capture Calibre debug logs during test jobs. - Write a Gatekeeper troubleshooting checklist. - Order glasses optimized for screen work. Backlinks [[Obsidian AI Daily Log]] [[macOS Security]] [[LeaderKey]] [[Calibre]] [[Automation]] [[Homeland]] [[Health]] Tags \#tech/macOS \#tech/automation \#apps/leaderkey \#apps/calibre \#tech/security \#obsidian \#entertainment/television \#health \#vision