· 4 min read
Evaluating AI Agents on Multi-Step Office Tasks
Single-turn benchmarks miss what matters. Here's a practical eval harness for agents that move data across email, docs, sheets, and calendar.
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
Model Selection in 2025: When Smaller Beats Frontier
A practical framework for routing tasks to small, fast models or frontier reasoning models based on latency, cost, and failure cost.
· 4 min read
The Hidden Cost of Context Windows in Agent Workflows
A quantitative look at how context window limits quietly degrade agent performance on email threading and document synthesis—and what to do about it.
· 4 min read
How to Choose an LLM for Each Task, Not Just the Best One
Stop defaulting to the largest frontier model. Use a cost-latency-quality matrix to route each task to the right LLM and cut spend without hurting output.
· 5 min read
How to Evaluate an AI Inbox Assistant Before You Trust It
A concrete eval rubric for email AI — measuring intent precision, action safety, and hallucinated commitments — plus test cases you can run today.
· 5 min read
The Quiet Shift to Smaller, Specialized Models in 2025
Frontier models aren't always the answer. For inbox and search work, routing to small fine-tuned models is quietly becoming the default architecture.
· 4 min read
How to Evaluate an AI Agent Before You Trust It With Your Inbox
A concrete eval methodology for action-taking agents: measure task success, failure recovery, and over-action risk before you hand over the keys.
· 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.
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