· 4 min read
How to Evaluate an Agent That Edits Your Spreadsheet
Spreadsheet edits demand cell-level, deterministic evaluation — accuracy, reversibility, and formula integrity — not vibes-based scoring.
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· 4 min read
Why Agents Fail at Long Tasks (And How to Fix Drift)
A diagnostic framework for why agentic workflows degrade over multi-step tasks — context loss, tool errors, and goal drift — plus concrete mitigations.
· 4 min read
Difficulty-Aware Prompting: When Chain-of-Thought Hurts
Reasoning depth should scale with task difficulty. Here's when chain-of-thought helps, when it hurts, and how to spend reasoning tokens wisely.
· 4 min read
Prompting Is Becoming Spec-Writing
The clever one-liner prompt is fading. Durable AI work needs specifications: constraints, examples, and acceptance criteria you can reuse.
· 4 min read
AI Workflows vs. AI Agents: When to Use Which
A decision framework for choosing constrained AI workflows over open-ended agents — and the specific conditions that justify going agentic.
· 4 min read
I Audited a Week of 'AI Productivity' — What Actually Saved Time
A rigorous time-and-error log of AI in real knowledge work — separating genuine wins from rework and the hidden review tax.
· 5 min read
Evaluating AI Output When There's No Right Answer
How to build evals for subjective knowledge work — emails, summaries, docs — using rubrics, pairwise comparison, and human-in-the-loop sampling.
· 4 min read
Are You Leaking IP Through Your AI Tools?
A concrete audit of where your prompts, files, and context actually travel across AI assistants — and the data boundaries every enterprise should demand.
· 4 min read
Why Most RAG Pipelines Fail at Retrieval, Not Generation
When a RAG pipeline gives bad answers, the LLM usually isn't the problem. Retrieval is. Here's where chunking, ranking, and recall actually break.
· 4 min read
Evaluating AI Agents: Why Task Success Beats Benchmarks
Public leaderboards reward the wrong things for agentic work. Here's a practical eval harness built around real task completion and side-effect safety.
· 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.
· 4 min read
The Inbox Is the Hardest Agent Problem in Productivity
Email looks routine, but it's the toughest environment for autonomy: ambiguous intent, irreversible sends, and tangled threading state. Here's what reliable inbox automation really takes.
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