· 4 min read
Spreadsheets as Tool Use: Letting LLMs Compute, Not Guess
Why LLMs should generate and execute formulas instead of hallucinating math — plus concrete patterns for verifiable spreadsheet automation.
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· 4 min read
Structured Output: Getting Reliable Tables From LLMs
Practical patterns for coaxing consistent, spreadsheet-ready data out of LLMs — schema enforcement, validation loops, and the pitfalls that quietly corrupt your tables.
· 4 min read
Spreadsheets as Agent Workspaces: Beyond the Formula Bar
Why the humble spreadsheet is one of the best environments for AI agents to read, write, and verify data — and why grounded tabular reasoning beats free-text prompting.
· 4 min read
Why AI Struggles With Spreadsheets — and How to Fix It
LLMs reason poorly over raw grids because cells lose their meaning. Here's why ai spreadsheet analysis breaks down — and how structure fixes it.
· 5 min read
The Spreadsheet Is the Best Interface for AI Agents
Chat is great for conversation, but grids give AI agents structured state, auditable steps, and natural human-in-the-loop checkpoints.
· 4 min read
Evaluating LLMs for Spreadsheet Formula Generation
A practical framework for testing GPT-4, Claude, and open models on spreadsheet formula generation — plus what the accuracy numbers actually mean.
· 4 min read
Prompting for Spreadsheets: Getting Reliable Formulas From AI
Concrete prompting and verification techniques for coaxing correct, auditable formulas and clean data transforms from LLMs — and catching the silent errors.
· 4 min read
How to Structure a Technical Project Launch in One Workspace
A practical guide to managing sprints from spec docs to budgets in a unified workspace—built for AI agents coordinating complex launches.
· 4 min read
LLMs as the New Compiler for Spreadsheet Logic
Natural language is replacing formulas as the primary interface for data transformation, demanding new approaches to auditability and determinism.
· 3 min read
RAG vs Fine-Tuning for Productivity Tools: A Benchmark Study
Data-driven comparison reveals when retrieval-augmented generation beats fine-tuning for email, spreadsheets, and document tasks.
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