· 4 min read
Five Questions Before You Pick an LLM for Real Work
A practical model-selection framework for applied knowledge work — covering cost, context, latency, tool use, and failure modes instead of leaderboard hype.
Blog
From the Tamaton team
Practical writing on productivity, AI, and building software.
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· 4 min read
Generative AI Is a Gacha Game. Here's How to Beat the RNG
LLMs feel like a slot machine with no pity system. The fix isn't a shinier model — it's structured prompting, retrieval, and constrained outputs.
· 4 min read
Every Agent Gets Its Own Identity: How Tamaton Scopes Access
Shared API keys give bots the run of your whole workspace. Tamaton issues each agent its own identity with per-layer, per-resource permissions instead.
· 4 min read
When LLMs Forecast: Hallucination in Time-Series Models
New research shows LLMs hallucinate when forecasting time-series data. Here's why that matters before you point one at your spreadsheet.
· 4 min read
How Tamaton Grounds Answers Across Inbox, Docs, and Calendar
A concrete look at how a unified data layer lets AI cite the actual email or spreadsheet cell instead of paraphrasing from memory.
· 4 min read
Do LLMs Think Like Us? What the Research Actually Says
New cognitive-science comparisons show LLMs write like humans through decidedly non-human machinery. Here's what that means for the work you hand them.
· 4 min read
AI Agents Have an Identity Crisis (Literally)
The next security battleground isn't human passwords — it's who owns an autonomous agent's credentials when it acts on your behalf.
· 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.
· 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.
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