Memory becomes infrastructure.
Daily logs begin accumulating the failures, recoveries, and operating rules that would become the development wiki.
Earliest indexed daily log · 2026-04-22
AI could write the fix. It just couldn't see what happened. So we built it a memory.
This is the story of ThinkRun: a screen recorder, a real logged-in browser, and a structured audit trail for AI coding agents.
SESSION CAPTURED00:01:42human_action → click
viewport → 1440 × 900
console → 2 errors
network → 1 failed request
artifact → html + json + markdown
Now the agent can see the bug.
Daily logs begin accumulating the failures, recoveries, and operating rules that would become the development wiki.
A rename across product surfaces—while preserving legacy config, environment variables, storage keys, and existing user continuity.
In-page screen recording ships live. Capture, upload, and analysis are proven end-to-end in production.
Recordings and sessions become one navigable history—posters, source filters, detail views, and honest empty states.
The SPA had served answer engines an empty root. ThinkRun rebuilt its public surface as prerendered, machine-readable pages.
Corrections stop disappearing into transcripts. They become linked, searchable operating knowledge.
Public entry points need run-the-binary proof, not file-listing confidence.
Before building a new system, prove the capability does not already exist.
Local, extension-agent, and cloud paths are different contracts—not cosmetic modes.
The artifact that helps an agent solve today's bug should make tomorrow's agent wiser.
ThinkRun gives your coding agent the browser you already use, the moment you actually saw, and the evidence it needs to act. A shared visual memory between the human who noticed and the machine that can fix it.
See what ThinkRun sees ↗