AI Google Docs Integration

What This Is

An LLM-native layer on top of Google Docs that turns the editor from a passive writing surface into an active thinking partner. The distinction matters: existing autocomplete tools predict the next word. We're building something that understands the document's structure, argument, and intent and intervenes intelligently.

The research question: what does good AI document assistance actually look like? Not just completion, but ideation, critique, restructuring, and visual synthesis from prose.

The Four Capabilities

1. Context-aware autocomplete Not token prediction paragraph-level intent completion. The model reads your current section, infers what you're trying to say, and offers a continuation that fits the document's voice and argument structure. This requires embedding the full document into the context window and grounding completions against it.

2. Ideation and brainstorming Given a section heading or a vague prompt, generate structured ideas with rationale. The hard part is making these non-obvious not the first things a reader would think of. We use chain-of-thought prompting with an explicit novelty constraint.

3. Automated chart generation Given a passage that references numbers or trends, detect the data and generate the appropriate Plotly/Chart.js visualisation inline. Moving from unstructured prose to structured visual a form of information extraction + code generation.

4. Document analysis Structural critique: does the argument flow logically? Are there unsupported claims? Is the conclusion supported by the body? We use an LLM judge with explicit argumentation rubrics.

What Makes This Hard

Google Docs integration requires real-time sync with the Apps Script API, which has strict execution time limits. Streaming LLM responses back into the document without corrupting the cursor position is non-trivial.

What's Next

• Streaming completions with progressive rendering into Docs
• Multi-document synthesis: summarise and compare across a folder
• Citation verification: flag unsupported claims and suggest sources