← Khan Academy
Bringing AI in at Khan Academy

Trace publishing failures while creators wait for a clear answer

You’re the software engineer. Your team is in the room. Printed Oct 18, 2026.

Publishing speed is pulling against the confidence required to change a live content pipeline.

Content creators need a clear answer during a publishing window, while engineers need evidence they can verify before changing Go services or GraphQL behavior.

Who you’d be doing this for

“I marked the lesson ready this morning, and now I’m still telling everyone I don’t know why it didn’t go live.”

Martin Lazarevic · Content Creator

Prepares lessons and practice content for publication through the authoring workflow.

What is at stake

Ready lessons and practice content can miss a publishing window while engineers reconstruct evidence across several systems. You must weigh faster investigation against the review needed before an engineer acts on a proposed cause.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • faster diagnosis vs. engineer verification
  • publishing windows vs. evidence completeness
  • AI-ranked causes vs. durable pipeline guardrails
  • creator urgency vs. production safety

Why Khan Academy

The authoring and publishing pipeline carries lessons and practice content to learners using the platform worldwide.

Written with these in mind

forward deployed engineerAI systems engineerdeveloper productivity engineer

Not your kind of problem? 26 more at Khan Academy, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.