FIELD / RESEARCH
Research & practice
How I turn source material into reports and presentations with AI agents.
10 resources
21 public posts · including 6 main representative cases · 13 days after first application
GPT Astra, 21 public posts, and AdSense approval on the first attempt
The new Lab homepage created using GPT Astra had 21 public posts at the time of application, with 6 representative cases featured on the main page. A new subdomain was created under the existing company domain to build the homepage, and upon applying for the initial review, it was approved in just 13 days without reapplication.
Give every presentation figure a route back to its evidence
I linked a concise research presentation to its calculations and sources, then revised charts for comparison and tables for detail while keeping them editable.
Before choosing an assistant model, I had to fix the evaluator
I compared four models over 96 OpenClaw runs. Finding missing tool traces and broken JSON taught me more about evaluation than the ranking alone.
Fixing a Hangul form by changing what the tool edits
I traced a broken HWPX form to text being merged across table cells. I changed the editing unit to cell paragraphs and carried that rule into the generator and OpenClaw skill.
Dense diagrams and three photo columns, editable one element at a time
How I make complex PowerPoint layouts editable
Dense case studies and operating models need to stay editable. With Codex, I built slides from text, shapes, connectors, tables and charts so I could revise individual elements and reuse the composition.
Finish the report and the card that leads readers to it
An edited article is only part of publishing. I treat the text, summary, image and listing link as one deliverable in the UPMI report workflow.
Define the deliverable before handing work to an agent
I unpacked “write a proposal” into sources, drafting, review and delivery. These are the questions I use to define an agent’s work before it starts.
Turn a plan’s broad promises into the next concrete task
While writing about urban regeneration, I organized a way to turn plans into actions, roles, decisions and evidence. Here is a small agent-assisted exercise to try.
Domains · Content · Deployment · Operations
My own web server, from creation to publishing with an agent
I run company, Lab, Academy and news sites on my own hardware. An agent connects domain routing, development, content updates, deployment and checks. Here is the actual setup and a capacity model grounded in an upload measurement.
How I finish real work with AI agents
I started with the result I wanted, worked through small revisions and turned it into something I could use. Here is the approach I use for documents, software and home systems.