AI Builder Spotlight · Open-source agent activation
Turn every workflow, screen recording, and operating lesson into a governed agent system that compounds.
We open-sourced the same four-stage Content Factory our teams use: capture what is real, analyze it, package it into useful assets, and distribute it with measurement. It is built for operators, builders, and teams installing practical AI agents—with human review at every consequential step.
The audit and operating knowledge are free. If you want our team to install, customize, or run the system with you, implementation is paid and scoped separately.
The operating loop
One real source becomes a library—without losing the evidence.
Agents should reduce repetitive labor, not manufacture expertise. Every output traces back to a real job, answer, result, or recording.
Capture
Record the job, explanation, result, or customer question while the expertise is happening.
Analyze
Extract the claims, entities, moments, questions, and next actions that can be verified.
Package
Create clips, articles, pages, FAQs, proof cards, and follow-up assets for human approval.
Distribute
Publish to the right surfaces, measure calls and outcomes, then feed the learning back in.
Built for AI Builder Spotlight
Generic prompts do not understand your evidence. A skill does.
The agent receives the workflow, standards, sources, and acceptance test for your category. Your people keep judgment and approval.
- Turn a working workflow into a reusable skill with a clear acceptance test.
- Package build sessions into documentation, demos, and implementation proof.
- Connect agents to shared context, schedules, and human review instead of loose prompts.
Activate in sequence
Install only what you can govern.
Open the canonical guide
Use the maintained source for current skill packs, setup instructions, and the four-stage workflow.
Choose one measurable job
Start with a real bottleneck and define the evidence, human owner, and acceptance test before scheduling it.
Run, review, and improve
Verify the public result, measure the business signal, document what failed, and update the skill at the source.
Use the source of truth
Guides, skill packs, and verification.