AI Agents
Prompt Chaining
Breaking a complex task into smaller steps and feeding the output of one AI prompt into the next, like an assembly line for reasoning.
Definition
A technique where multiple LLM calls are linked sequentially, with each prompt's output becoming the input for the next. Enables complex, multi-step reasoning beyond what a single prompt can achieve.
Why it matters
The simplest form of agentic workflow, and often the most reliable for production applications.
Where Sophizo applies this
Sophizo deploys Prompt Chaining 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.
From vocabulary to outcomes
Ready to put Prompt Chaining to work?
Knowing the term is step one. Deploying it inside a revenue architecture that compounds is what Sophizo builds.
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