Home Mold

interview-to-freeform-summary

Normalize a free-form user interview into the shared freeform-summary workflow handoff.

Mold health

ok
  • Source layout

    Directory Mold with only index.md frontmatter.

  • Axis fields

    source-specific fields are coherent.

  • Eval plan

    eval.md declares cases and check type.

  • Typed refs

    No typed references yet.

  • On-demand triggers

    All on-demand references describe triggers.

  • Evidence checks

    Hypothesis references include verification.

axis
source-specific
source
interview
name
interview-to-freeform-summary

Cast artifacts

How to install →

Artifact handoffs

/ pipeline contract

Produces

interview-to-freeform-summary

Turn a free-form user interview into the shared freeform-summary artifact consumed by downstream freeform-summary Molds.

The harness owns the live interaction style. It may run this Mold inside an interactive Claude/Codex session, feed it a saved transcript, or collect answers through a custom UI. The Mold’s job is the normalized handoff, not the conversation.

Emit Markdown, not a target workflow schema. Downstream Molds treat this exactly like the output of summarize-paper: useful source evidence with explicit uncertainty, not a fully specified workflow. Keeping the two producers shape-compatible is what lets paper and interview starts share one design/template tier.

What to capture

Record what the interview actually supports, and mark the rest as uncertain rather than inventing it:

  • Workflow intent — what the user is trying to build, in their words.
  • Methods / algorithms — the analytical steps, ordered as the user describes them.
  • Tools — named tools or versions if given; otherwise the operation to be resolved downstream.
  • Inputs — sample data, formats, per-sample structure, paired/grouped shape.
  • Outputs — expected results and which ones matter for review or testing.
  • Parameters — any non-default settings the user calls out.
  • Data availability — whether real or test data exists, and where.
  • Constraints — runtime, environment, licensing, or scale limits.
  • Confidence and open questions — where the user was unsure, and what still needs answering.

Don’t over-specify

A free-form source carries genuine uncertainty; preserve it. Do not promote a vague answer (“some kind of alignment”) into a precise tool or parameter — record it as intent plus an open question. Silent invention here propagates as false confidence through every downstream brief.

Incoming References (1)

  • INTERVIEW → GALAXYphase of pipeline— Interview-driven path to a Galaxy gxformat2 workflow through the shared freeform-summary handoff.