TriSeed

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.
🌐 triseed.co

n8n just announced a partnership with SAP to bring visual AI workflow orchestration to enterprise, and we could not be more excited.

As an n8n expert partner, TriSeed has been privileged to work in this space, helping enterprises build intelligent, multi-step workflow automations that connect systems, reduce manual work, and scale with their business.

n8n is a workflow automation platform that lets teams design complex automations visually, connecting apps, databases, and APIs without writing code from scratch. Paired with SAP's enterprise reach, this is a major step forward for how large organizations will manage and automate their operations.

Read the full announcement: https://blog.n8n.io/n8n-partners-with-sap-to-bring-visual-ai-workflow-orchestration-to-enterprise/

Curious how workflow automation can work for your organization? Visit triseed.co

n8n Partners with SAP to bring Visual AI Workflow Orchestration to Enterprise n8n will soon be available as a fully managed environment inside the Joule Studio solution on the SAP Business AI Platform. With n8n, SAP software developers can visually build AI workflows and orchestrate agents across SAP and their broader tech stack.

If you are building enterprise agents in 2026, Model Context Protocol (MCP) is not optional. It is the layer that connects your agents to your actual data.

Here is the problem MCP solves: agents are only as useful as the context they can access. Without a reliable, structured way to call enterprise tools, read live data sources, and return results the model can reason over, your agent is little more than a stateless query engine.

MCP standardizes how agents connect to tools. Build a tool once, expose it as an MCP server, and any compatible model can call it. For enterprise systems, this is a significant architectural unlock.

At TriSeed, we work with FastMCP. The implementation speed compared to custom tool-calling is significant.

What tool are you connecting your agents to first? Drop it in the comments or reach out at triseed.co.