Listener Questions

The call-in system gives learners a way to ask questions between episodes. These questions influence future content, creating a feedback loop between the learner and the system.

How it works

At any point — while listening, after a tutor session, or just lying in bed at 2am — the learner can submit a question. This is as simple as typing it into a text file or a CLI command:

lugh ask "Does alcohol count as a histamine liberator or does it block DAO?"

The question gets stored in the topic’s question queue with a timestamp and the learner’s current episode number (so the system knows their context).

How questions get used

In-episode call-in segments

When generating a new episode’s script, the system checks the question queue for anything relevant to that episode’s topic. Relevant questions get formatted as call-in segments (see Episode Anatomy).

The call-in format serves multiple purposes:

• It answers the learner’s actual question
• It creates a natural bridge to revisit earlier material
• It models how to think about edge cases and connections
• It breaks up the episode’s pacing

As diagnostic signal

A question like “wait, is that the same as an allergy?” reveals a misconception the pre-assessment might have missed. The system can flag this for the next tutor session — not as a gotcha, but as a concept worth probing.

As curriculum feedback

Patterns in questions can signal curriculum problems. If a learner asks three questions about the same concept, the episode covering it probably didn’t land. This could trigger a curriculum revision for future runs.

For shareable courses

Curated listener questions become a valuable shareable artifact:

• A FAQ companion doc for each episode
• A “mailbag” bonus episode compiling the best questions
• Real questions from real learners are more authentic than LLM-generated FAQs

Questions that are ahead of the curriculum

If a learner asks about something covered in a future episode, the system has a choice:

• Acknowledge the question and note that it’s coming: “Great question — we’ll get to that in Episode 4”
• Give a brief teaser answer without full context, building anticipation
• Hold the question for the relevant episode’s call-in segment

The default is to hold it — answering out of sequence can confuse the learning arc.