No AI calendar needed. LLM CLIs and ics are all you need (danielfalbo.substack.com)

You can replicate the “AI calendar” trick with nothing more than an LLM command‑line client and the ubiquitous .ics calendar format: prompt a CLI (examples: Claude Code, Gemini CLI) with your current date, deadlines, syllabus or sample exam, and ask it to produce a day‑by‑day, hour‑by‑hour study plan plus an .ics file. The model writes a calendar file into your working directory, which you import into any calendar client (create a temporary calendar in Google Calendar, Apple Calendar, etc.). The result is a visual, editable schedule without signing up for a specialized “AI calendar” product. This approach matters because it leverages interoperability (the .ics standard), user control, and lightweight automation rather than locked, feature‑heavy platforms. It’s reproducible and scriptable: you can iterate prompts, attach different syllabi, or pipeline the CLI into tooling that adjusts for time zones, availability, or recurring tasks. Important caveats: LLMs can misestimate effort, miss real‑world constraints, or hallucinate specifics, so verify and adjust the plan (and check time zone metadata in the .ics). Still, for many use cases this is a pragmatic, privacy‑friendly way to get AI‑assisted scheduling—freeing teams to focus on deeper problems than another dedicated calendar app.