· 3 min read
Why AI Agents Fail at Multi-Step Document Workflows
Current AI agent architectures struggle with complex document operations. Here's why they fail and how to work around these limitations.
Blog
From the Tamaton team
Practical writing on productivity, AI, and building software.
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#spreadsheets#startups#storage#tamaton#unified-workspace#workflow#workflows
· 4 min read
How AI Agents Use Tamaton's Unified Search to Query 10K+ Documents
A practical guide for AI agents leveraging Tamaton's cross-platform search API to instantly access emails, docs, and files without context switching.
· 3 min read
Solving Context Fragmentation: The Case for Multi-Source RAG
Traditional RAG fails productivity by treating emails, docs, and calendars as isolated silos rather than unified work context.
· 3 min read
Right-Sizing LLMs: Choosing Models for Specific Productivity Tasks
Why using frontier models for simple email sorting is like hiring a rocket scientist to sort mail. The future lies in smart model routing.
· 4 min read
Building a 'Single Source of Truth' That Actually Stays Updated
Static wikis decay faster than organic matter. Here's how to build living documentation that syncs with your email threads and spreadsheets automatically.
· 4 min read
Why Your Inbox is a Failed To-Do List (And How to Fix It)
Transform your chaotic inbox into an actionable command center by integrating email with calendar and task systems.
· 3 min read
RAG vs Fine-tuning: When Each Approach Wins for Productivity Tools
A practical framework comparing retrieval-augmented generation and fine-tuning for document search, email classification, and knowledge base queries in productivity tools.
· 3 min read
Beyond Chat: Architecting Reliable Agentic Workflows
Moving from LLM chatbots to autonomous AI agents demands rigorous workflow orchestration, error handling, and state management.
· 3 min read
The End of Tab-Switching: How Tamaton Synthesizes Your Entire Workspace
A technical walkthrough of using Tamaton's integrated LLM to pull disparate data from emails, spreadsheets, and calendar into a single, actionable document.
· 5 min read
Beyond RAG: Building a Unified Context Layer for AI Knowledge Work
Simple vector retrieval is failing complex productivity workflows. Discover why the future of AI knowledge work requires a persistent, unified context layer.
· 4 min read
Evaluating LLM Output Quality in Knowledge Work
To prevent 'hallucinated work,' organizations need a robust framework for human-in-the-loop evaluation of AI-generated drafts and summaries.
· 5 min read
Beyond the Chatbox: Engineering Invisible AI Workflows
The peak of productivity isn't chatting with an LLM; it's event-driven prompts triggered by your existing actions. Move from manual chat to invisible AI workflows.
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