Agent-consumable content

Tue, 19 May 2026 11:08:59 +0800

I’m making more and more of my content agent-consumable, i.e. easier for ChatGPT, Claude Code, etc. to read, in three ways.

One, I export content in an agent-friendly way.

Google email, calendar, chat. I use gws to back up into scannable one-line entries.
Meet recordings. I back up transcripts and videos (with a compact audio copy).
WhatsApp chats that I back up into similar one-liners.
Browsing history by exporting my Edge history SQLite database.
Daily activities by integrating the above with my command line and commit history.
AI conversations by exporting them manually or via bookmarklets.
Social media records like LinkedIn invites/conversations, Twitter, Hacker News, Discourse, etc via bookmarklets or scripts.
Financial records like bank statements, receipts, payslips, tax filings, utility payments, rentals, property records, investments, insurance, pensions, invoices, credit scores, etc. by exporting them manually.
Medical records like tests, prescriptions, doctor visits, etc. by exporting them manually.
Personal records like certificates, educational records, CV, passport / visa applications, etc. by exporting them manually.

Two, I log / generate more content. For example:

Things I learnt and blog posts I write.
Prompts I use frequently.
Trending GitHub repos I want to evaluate.
Talks I deliver and data stories I write.
Demos I build and code I write.
Weight and other fitness data.
Teaching material, assessments and evaluations and analysis.
Coding agent logs.
Sensors: Location, mostly.
Daily journals: Food, sleep, deeds, pains, …
Media journals: Books, movies, TV series, …
Notes (of various kinds): TODOs, app / tool ideas, people I know / meet, questions I’m asked, my beliefs, …

(Notably missing are photos / videos, which I’ve fallen out of the habit of.)

Three, I summarize the content for agents. For example:

Adding blog frontmatter by summarizing my blog posts
Adding transcript frontmatter by summarizing my meeting transcripts.
Identifying actions extracted from transcripts.
Summarizing my code as podcasts.
Summarizing prompts as SKILL.md files.
Summarizing conversations into advice for AI, time management, etc.
Summarizing technical choices into a technology radar
Extracting transcripts elements, like insights, experiments to run, actions, what I missed, what they missed, etc.

On my list is Karpathy’s LLM wiki, summarizing my photos, and more.

Just writing this post took me an hour! It also convinced me that I have lots of content and there’s a lot of under-leverage in unleashing agents on what I already have.

Getting things done at a call center

Wed, 28 Jul 2004 12:00:00 +0000

A good way to get things done at a call center.

One minute summary of movies

Mon, 01 Jan 2001 12:00:00 +0000

A one-minute summary of movies. For some movies, if you’ve read it, you’ve seen it.

scripts on S Anand

Agent-consumable content

Getting things done at a call center

One minute summary of movies