Why Your AI Agents Need a Shared Knowledge Base
AI agents in the same workspace can't learn from each other. We built a shared knowledge base using Obsidian-compatible vaults and MCP — here's why and how.
Read →Tutorials, comparisons, and guides for AI agents. RSS
AI agents in the same workspace can't learn from each other. We built a shared knowledge base using Obsidian-compatible vaults and MCP — here's why and how.
Read →A community investigation intercepted 17,610 API calls and found that invisible thinking tokens are the dominant quota cost in Claude Code. Six confirmed bugs, two still unfixed.
Read →Listings, follow-ups, market research — the assistant handles it. You do the viewings.
Read →Real estate agents lose 2+ hours daily to admin tasks that never close deals. Here's how an AI assistant handles the repetitive work — mandate tracking, visit reports, follow-ups — so agents can focus on clients.
Read →Sandboxes limit what your agent can do. A full Linux desktop in an isolated VM gives it everything — GUI, file system, persistence — without risking your host.
Read →Write property listings in 2 minutes instead of 30. Your assistant drafts the text, you review and publish.
Read →AI is evolving from chatbot to specialized agent with its own workstation. Here's why agent teams are the future, and how Le Bureau hosts them today.
Read →Ephemeral sandboxes made sense for code execution. They fall apart for agents that do real work across sessions. Here's the persistence argument.
Read →AI sandboxes solved code execution. But agents that browse, write documents, and work across sessions need something sandboxes can't provide: a real computer.
Read →A practical comparison of four AI agent platforms. What each one does, where it falls short, and how to pick the right infrastructure for your agent.
Read →E2B handles code execution well, but agents that need browsers, persistent files, or GUI access need something different. A practical comparison of what's out there.
Read →Google doesn't care that AI wrote your content. It cares that you skipped the 11 steps between 'generate text' and 'publish something worth reading.' Most AI content workflows are just copy-paste with extra steps.
Read →A quick walkthrough: create an account, spin up a cloud desktop, and give your AI agent its first task. BYOK, no local install.
Read →A developer's comparison of three AI agent platforms with very different architectures and trade-offs.
Read →Why AI agents need full virtual machines, not sandboxes. Architecture, tradeoffs, setup, and what we learned building Le Bureau.
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