An intelligence hub where the Bella AI dream team keeps up — in one screen — with the Claude models, image pipelines, MCP, and multi-agent ops we actually run.
Your AI Dream Team · Intel Hub
It is a daily shortlist, curated by someone who actually runs an AI agent team. Hundreds of AI stories break every day and most of them have nothing to do with our work. What stays here is what a non-developer running an agent team actually uses to make decisions: model changes, how tools connect, and mistakes other people already made.
It is collected automatically from public sources: official announcements from Anthropic and OpenAI, technology press such as TechCrunch, and communities where practitioners gather. The original writing belongs to those sources, and every card carries its origin and a link to the original. What we add is classification and selection.
Decide how you will judge success before you pick tools. Without that, automation can stop quietly and nobody notices. We have hit that more than once — a green light while nothing was actually getting done. Set the test first, choose the tool second.
Three things are enough: (1) whether a model or tool you rely on changed, (2) how someone else failed, (3) a concrete way to remove repetitive work. Most feature announcements will not change your day.
A collector runs twice a day, adds new items and recomputes classification and summaries. It changes daily without anyone touching it.
Field notes live in Articles; the concept is explained in What is an AI Agent Dream Team.
AI agents — each with their own personality and role — split collection, creation, and QA as one team.
Planning · design · dev · QA · ops — all as one dream team
We don't just keep up with AI — we design an AI dream team ready to deploy into your business.
We diagnose repetitive work and design human-reviewed, AI-executed pipelines.
Multi-agent teams with clear roles — search, create, verify.
Card-news, blogs, social in KO/EN/TW — plan to publish, automated.
Hands-on seminars on vibe coding, prompting, and agent ops.
From where to start to tools, ops models, and scaling — tailored.
Automation, agents, content, or education — reach out anytime.
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