· 4 min read
Why 'AGI Levels' Charts Won't Help You Pick a Model
AGI-ladder charts are fun philosophy and useless procurement docs. Here's a practical framework for LLM model selection based on capability and cost.
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#remote-work#search#security#spreadsheets#startups#storage#tamaton#unified-workspace#workflow#workflows
· 4 min read
RAG Isn't Search, and Search Isn't RAG
Retrieval-augmented generation and enterprise AI search get conflated constantly. Here's the actual difference — and when to use RAG instead of plain search.
· 4 min read
How Tamaton Handles the Inbox an Agent Can't Stop Filling
When agents send and reply at machine speed, triage becomes a routing and evaluation problem. Here's how we approach ai email management built for bots, not just humans.
· 5 min read
Your Coding Assistant Skips the Boring Stuff. Here's Why.
LLM coding tools quietly omit rate limits, logging, and error handling — not because they can't, but because nobody named them. Here's how to prompt around it.
· 4 min read
Evaluating Agents: Why 'It Worked in the Demo' Lies
Task-completion scores hide silent failures. Here's a working method for AI agent evaluation using judged rubrics, adversarial cases, and regression suites.
· 5 min read
How to Evaluate an AI Agent That Books Your Meetings
Task-completing agents can't be graded like chatbots. Here's an eval framework built around side effects, reversibility, and the cost of being wrong.
· 4 min read
Multi-Agent Systems Are Coordination Problems, Not Model Problems
The bottleneck for multi-agent setups isn't a smarter model — it's shared state, clean handoffs, and knowing who owns the calendar. Coordination is the real work.
· 5 min read
The Metaphor Trap: Why We Keep Explaining LLMs Wrong
Physics and brain analogies make LLMs feel intuitive — and quietly lead us astray. Here's what to reason about instead.
· 4 min read
The Circular Trust Problem: When LLMs Verify LLMs
Using one model to fact-check another can turn errors into a mutual admiration society. Here's how the recursion happens and how to break it.
· 4 min read
Project Memory: The Missing Layer for Agent Workflows
Bigger context windows won't fix agents that forget. Persistent, structured project memory is the real unlock for sustained knowledge work.
· 4 min read
Agent vs. Workflow: Stop Letting the AI Improvise
A practical rule for AI-native software: use an agent only when the steps are unknown and the goal is clear. Use a deterministic workflow for everything else.
· 4 min read
Why Your RAG Pipeline Fails on the Inbox
Email and calendar data breaks most RAG setups because relevance is temporal and social, not just semantic. A bigger embedding model won't save you.
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