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AI-assisted document workflows

Academic prototype · In development

Turning source material into an editable document draft.

An academic prototype exploring AI-assisted case study generation from source files and a project brief.

From material to draft
  1. 01Sources
  2. 02Draft
  3. 03Review
Human review stays in the workflow.
Illustrative example · not a live generation

Conceptual workflow illustration · not a product screenshot

Context & challenge

Useful document generation involves more than writing fluent text. The workflow also needs to extract relevant information, produce an editable structure, and make review practical.

Generated content is a starting point for human review. It should not be treated as a verified final document simply because the text reads well.

Approach & scope

The documented prototype processes source material, assembles context for generation, and creates a structured draft for editing. Further work focuses on processing, retrieval, and reliability.

File processing
File extraction and OCR explored in the prototype.
Generation
Structured AI-generated drafts for editing.
Editing
Rich-text document editing and stored document versions.
Export
PDF export work is part of the project; current end-to-end availability needs verification.

Explore the workflow

Illustrative example · not a live generation

A fictional source note

The bakery records dispatches on paper. Staff compare quantities at the end of the day. A digital record is proposed to make review easier.

01 / Sources

The complete example

Sources: a fictional bakery records dispatches on paper. Draft: organize the context, challenge, and a proposed digital record. Review: check every statement against the source, flag unsupported details, and edit before sharing. All panels are prewritten; no AI request is made.

Evidence & limitations

A prototype and an engineering improvement plan are documented in a 2 October 2026 audit. Production readiness, accuracy improvements, and processing-time gains have not been established by measured results.

This is collaborative academic work, not a commercially available product. The dated audit is not a fresh inspection of current behavior. Outputs require review and results have not been benchmarked.

What comes next

Improve the processing pipeline and evidence handling, evaluate retrieval with representative files, and validate the editing and export experience.

Working with repetitive documents or scattered information?

Let’s talk
Explore another workflowCoffee shop & bakery operations

Let’s talk

Let’s make your next workflow clearer.

Tell me what you are building or what is getting in the way. We can discuss the problem, the scope, and a sensible next step.