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What Is an AI Agent?

In Arahi, an AI Agent is an autonomous, reasoning assistant powered by LLMs. It plans, evaluates, and executes tasks on autopilot, leveraging tools and custom domain knowledge to achieve defined goals. The agent decides how best to use resources—without requiring human oversight.

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Core Capabilities

  • Reasoning & Planning: Agents use LLMs to break down goals into actionable steps and determine which tools or workflows to activate.
  • Tool Integration: Agents can interact with external services and APIs (e.g., CRMs, Slack, Google Sheets) to complete tasks and retrieve information.
  • Optional Escalation: If uncertain, an agent can escalate steps or queries for human review—or store feedback to learn from future interactions.

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When to Use an AI Agent > Tool

Use Case ScenarioChoose an Arahi Agent When…
Task involves multiple decision points or toolsAgent can orchestrate decision-making and tool use
Natural language interaction or dynamic behavior neededAgents adapt responses based on context
Workflows require memory across sessionsAgent can remember and learn over time
Human oversight is required for edge casesAgent can escalate and learn from feedback

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How Arahi Agents Work — Summary Flow

  1. Instruction input: The agent receives a user goal (e.g. “Qualify this lead”).
  2. Planning: Generates a step-by-step approach using its tools and memory.
  3. Execution: Calls APIs, queries knowledge bases, or interacts with documents/chats.
  4. Decision making: Chooses next actions autonomously or with human review.
  5. Learning: Escalations and outcomes are stored to improve future reasoning.