Welcome to building your first Agent with Arahi AI
Welcome to the fastest route to launching your first AI Agent on Arahi AI. Whether you’re new to agent-based automation or you’re looking to deploy your next business process, this guide will walk you through creating your first Agent in just a few minutes.
Three ways to begin
Whichever path you take, you’ll still customise your Agent’s prompt, tools, and settings so it fits your workflow perfectly.
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Create an Agent with a Prompt
Use our “Creator” Agent: just describe what you need and Arahi AI will generate a working draft Agent (prompt template + tool placeholders) so you can get started quickly.
Tip: If speed is your goal, this is the fastest route. -
Clone an Agent Template
Choose from a library of pre-built Agent templates developed for common business use-cases (e.g., lead qualification, invoice processing, customer-support triage). Clone and tweak to match your exact process. -
Build an Agent from Scratch
If you have a unique workflow or advanced needs, start from a blank slate. This guide will help you through each building block—prompts, tools, triggers, settings—so you can craft a fully tailored Agent.
Getting started step-by-step
Below is a streamlined walkthrough to get your Agent live.
Step 1: Create Your Agent
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Navigate to the Agents section in Arahi AI.
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Click Create New Agent.
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Enter: Agent name, description, avatar/icon (optional) to give it identity.
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Select whether you’ll use a template, use Agent Invent, or start from scratch.
Step 2: Define Prompt & Instructions
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Craft or refine the prompt that will power the Agent’s behaviour.
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Specify system instructions (tone, context), user input format, expected output.
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Example: “You are InvoiceBot, you receive an invoice PDF and you extract line-items, match to PO, flag mismatches and update database.”
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Set boundary conditions and escalation logic (when to hand off to a human).
Step 3: Add Tools & Integrations
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Under “Tools / Connected Resources”, click + Add Tool.
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Choose from built-in tools (e.g., document parser, vector-search, CRM integration, email sender) or build a custom tool.
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For each tool: assign name, description, trigger conditions, input/output schema.
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Example: attach a document-parser tool to handle PDF uploads; attach a webhook tool to send updates to your CRM.
Step 4: Set Triggers & Workflow Logic
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Define what triggers the Agent: e.g., uploaded document, Slack message, webhook event, scheduled job.
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Configure branching logic: e.g., if amount > $10 k, escalate; else auto-approve.
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Optional: assemble multi-step workflows if needed (Agent does Task A → triggers Tool B → reviews → sends report).
Step 5: Test & Validate
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Run a few test inputs to see how the Agent behaves.
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Check that tools execute correctly and the outputs make sense.
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Validate edge cases, error handling, escalation paths.
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Adjust prompt, tool configuration, or logic based on results.
Step 6: Deploy & Monitor
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When you’re happy with test runs, switch Agent from “Draft” to “Active”.
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Assign access permissions (which users or teams can trigger this Agent).
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Monitor key metrics: number of tasks processed, error rate, time saved, human escalations.
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Set up alerts for anomalies (e.g., spike in failed tasks).
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Regularly review performance and refine: update prompts, add new tools, adjust logic.
Tips & Best Practices
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Start small, iterate fast: Launch a minimal viable Agent (MVA) to solve one pain point, then expand.
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Define success metrics: e.g., “reduce manual invoice review time by 50%” — track this.
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Use human-in-the-loop when needed: For edge-cases, degrade gracefully to a human operator rather than break.
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Monitor and refine: Agent behaviour will drift or edge-cases will appear — plan for iteration.
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Brand the Agent: Give it a clear name and identity so team members know “who” they’re interacting with.
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Secure and compliant: Since Arahi AI handles business documents and user data (including personal data/IP), ensure your tools and workflows comply with your GDPR, SOC 2 and other compliance regimes.
That’s it you’re on your way to launching your first Agent with Arahi AI.
If you hit a wall, check our support docs or reach out to support at support@arahi.ai.