· 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.
All#ai#ai-agents#ai-productivity#applied-ai#automation#calendar#context-switching#deep-work#documents#email#engineering#engineering-leadership#invisible-ai#knowledge-work#llm-evaluation#product-updates#productivity#prompt-engineering#search#security#spreadsheets#startups#storage#tamaton#unified-workspace#workflow#workflows
· 4 min read
The Inbox Is the Best Agent Interface We Already Have
Email's threads, recipients, and async replies aren't legacy baggage — they're a proven control surface for AI agents. Here's why the inbox is great agent interface design.
· 4 min read
Designing Memory for AI Agents: What Actually Works
Memory isn't one feature. A practical breakdown of episodic, semantic, and working memory for AI agents — and how to wire them into real workflows.
· 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.
· 4 min read
How to Evaluate an LLM for Your Workflow (Not the Leaderboard)
Public benchmarks rarely predict real performance. Here's how to build a task-specific eval harness from your own emails, docs, and spreadsheets.
· 4 min read
Context Windows Are Not Memory: Designing Agent State
The context window is a scratchpad, not storage. Here's how to architect external memory layers for durable, reliable agent state.
· 4 min read
Why Your RAG Pipeline Retrieves the Wrong Chunks
A diagnostic framework for the quiet retrieval failures that degrade RAG quality — from chunking strategy to embedding mismatch.
· 4 min read
Why Your RAG Pipeline Retrieves the Wrong Chunks
Retrieval failures aren't one bug — they're three. A diagnostic framework for isolating chunking, embedding, and reranking problems instead of guessing.
· 4 min read
Choosing an LLM by Task, Not Benchmark
Leaderboard scores rarely predict production performance. Here's a decision framework that maps real workloads to the right model.
· 5 min read
Context Windows Are Lying to You: The Lost-in-the-Middle Tax
Bigger context windows don't guarantee better recall. Here's where models actually lose information — and how to structure prompts so they don't.
· 4 min read
Email Triage With LLMs: Classification Beats Generation
The highest-ROI AI in your inbox isn't drafting replies — it's routing, prioritizing, and summarizing. Here's the architecture to build it.
· 5 min read
How to Evaluate an AI Inbox Assistant Before You Trust It
A practical rubric for judging email AI on triage precision, false-archive rate, and draft acceptance — instead of vibes.
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