· 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.
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· 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.
· 4 min read
Search That Understands Your Files: Beyond Keyword Match
Why keyword search fails in modern workspaces, and how semantic search, metadata, and permission-aware retrieval combine to make file search actually usable.
· 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
RAG vs Long Context: When to Retrieve, When to Stuff
Skip the 'long context killed RAG' debate. Here's a practical decision framework based on cost, latency, recall, and freshness.
· 4 min read
Inbox Zero Is Dead: Triage Email With AI Instead
Chasing an empty inbox fails at scale. Priority-routing and AI-drafted triage workflows beat completion-based goals every time.
· 4 min read
Beyond Chatbots: Pragmatic AI Workflows for Document Management
Embedded AI that categorizes files and drafts replies from your own data beats generic prompts. Here's how to build document workflows that actually save time.
· 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
Building Custom AI Agents in Tamaton: A Technical Guide
A step-by-step walkthrough for creating specialized agents in Tamaton's agent framework, focused on document analysis and structured data extraction.
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