TriSeed

Anthropic launched Claude Tag.

Claude now joins your Slack as a team member. Tag in a channel, it picks up the task, works through it, and delivers in the thread. It remembers context over time and can proactively flag things your team needs to know.

At TriSeed, we build on Claude — and seeing it move in this direction reinforces why.

Full announcement here: 🔗

Introducing Claude Tag Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

The gap between a language model and a capable AI agent comes down to one thing: what happens between the prompt and the answer.

A ReAct agent does not just respond. It thinks through the next step, acts using a connected tool, evaluates the result, and adjusts. That loop is what makes it reliable for real, complex work.

Read the blog: triseed.co/post/what-is-a-react-agent-how-ai-systems-think-and-act-at-the-same-time

What Is a ReAct Agent? How AI Systems Think and Act at the Same Time | TriSeed AI systems have long been divided into those that reason and those that act. The ReAct framework collapses that divide — enabling LLMs to plan, retrieve information, and course-correct in real time using a structured Thought-Action-Observation loop.

70% of enterprise AI projects never make it to production.

Most teams blame the technology. But the pattern tells a different story.

This is not theory. This is what we see in enterprise engagements every day.

Poor data quality accounts for nearly half of all failures. Wrong architecture decisions follow closely behind. Unclear ROI rounds out the top three root causes.

When the data foundation is not right, nothing built on top of it survives.

TriSeed assesses the data layer before designing anything else. It is not glamorous. But it is why our clients ship AI that actually works.

If your AI project is stuck in pilot, let us talk.
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