Definition
Agentic system
A coordinated architecture of AI agents that delegate, execute, and check work across a workflow, as distinct from a single chatbot answering a single prompt.
From the episode “Vibe Coding Your MVP Is a Time Bomb: AI Workflows for Founders Who Want to Ship Twice”How founders on the podcast use it
An AI architecture that takes sequences of actions autonomously, replanning based on new information rather than waiting for human input at each step.
Legal AI: Why Lawyers Are Finally Free to ThinkAI systems that can take actions, use tools, and complete workflows with some autonomy.
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Related terms in Agents & Automation
Agentic PlatformSoftware infrastructure that hosts, orchestrates, and manages AI agents at enterprise scale, independent of any single model provider. Distinct from the agents themselves and the underlying models — the layer that connects, controls, and logs everything.Agentic Professional ServicesProfessional services — accounting, legal, medical, financial advice — delivered primarily through AI agents that handle the technical labor, with human professionals providing review, verification, and trust-layer touchpoints rather than doing the work throughout. Deduction.com is the canonical example: the AI agent handles the tax work, a licensed CPA reviews and signs. The human is not eliminated — they are repositioned to where their presence has the highest value.Agentic sprawlAgents multiplying across a company faster than anyone can track or govern them.Agentic swarmMultiple AI agents with distinct roles and instructions working on the same problem, rather than one general assistant.Agentic workflowAn autonomous pipeline that decomposes a task, makes intermediate decisions, and chains actions together, as opposed to a single chatbot exchange.AI advisorsClyde's library of specialized AI experts with distinct domain lenses that users collaborate with like human consultants.AI agentSoftware that can take actions toward a goal with some autonomy.AI Agent Maintenance RoleAn emerging operational position responsible for monitoring, troubleshooting, and maintaining deployed AI agent systems. As companies deploy agent swarms to automate workflows across sales, operations, and content, those systems require ongoing human oversight: catching hallucinations and incorrect outputs, rotating API keys when services break, diagnosing integration failures, and ensuring agents are producing correct results at scale. The role blends technical judgment with operational discipline and does not require senior engineering credentials. Nicolas Bivero identifies this as one of the fastest-growing categories for offshore hires - it is inherently process-driven (monitor, diagnose, fix, log) and can be done remotely with defined monitoring protocols.