AI Agents

ReAct (Reasoning + Acting)

An AI framework where the agent alternates between thinking about what to do and actually doing it, reason, act, observe, repeat.

Definition

A prompting framework where language models alternate between generating reasoning traces and taking actions. The agent thinks about what it needs to do, takes an action, observes the result, and reasons about the next step.

Why it matters

The foundational pattern for most modern AI agents, combines planning with execution in a reliable loop.

Where Sophizo applies this

Sophizo deploys ReAct (Reasoning + Acting) inside revenue and AI engagements with growth-stage operators and PE-backed portfolios.

See AI Advisory →

Related terms in AI Agents

Agent Frameworks
Software toolkits (like Lego sets) that developers use to build and connect AI agents easily.
Agent Lifecycle Management
Managing an AI agent from the moment it's built to when it's retired, including updates and monitoring.
Agent Memory
An AI agent's ability to remember past conversations, decisions, and context, like giving it a notepad that persists across sessions.
Agent Orchestration
Acting as the conductor of an orchestra, directing different AI agents to play their parts at the right time.
Back to the full glossary

From vocabulary to outcomes

Ready to put ReAct (Reasoning + Acting) to work?

Knowing the term is step one. Deploying it inside a revenue architecture that compounds is what Sophizo builds.

Book a Discovery Call