What’s Next
Forms Lab demonstrates the foundation. Here’s where it goes from here:
Planned Capabilities
- Conversational form filling — Carlos completes complex sections through dialogue with an LLM agent (Story #9)
- LLM-assisted refinement — Maya uses conversation to iteratively improve the data model (Story #8)
- Advanced evaluation — LLM-as-Judge scoring for richer, semantic evaluation of extraction quality
Open Questions
- How well does extraction generalize across form types (tax forms, benefit applications, regulatory filings)?
- What’s the right balance between automatic extraction and human refinement?
- Can the evaluation framework itself be used to improve extraction prompts automatically?
The Bigger Picture
Government forms represent one of the highest-volume, highest-impact touchpoints between agencies and the public. Making these forms easier to create, more accessible to fill out, and more reliable to process is a meaningful application of LLM technology.
See: All Stories | Architecture
A digital services project by Flexion