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Thank you for using this guide to build agents
Get started quickly with the steps below:
New to AI agents? Learn the core concepts, experiment with workflows, and start building step by step.
Happy exploring and building.
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An AI agent is software that can think, decide, and act — not just respond. Unlike a chatbot that answers one question, an agent can complete multi-step tasks on your behalf.
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It reasons Uses an LLM to understand goals and plan steps to reach them.
It acts Calls tools, APIs, and services — sends emails, reads docs, updates CRMs.
It loops Checks its own output, corrects mistakes, and retries until the job is done.
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You can watch the tutorial for a detailed platform walkthrough
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Everything you need to know before you start building an agent. Read more
(Free instruction template)
# AGENT INSTRUCTIONS , [Agent Name]
## 1. ROLE & PURPOSE
Role:
Objective:
Success criteria:
Audience:
Scope:
Out of scope:
## 2. TONE & STYLE
Tone:
Response structure:
Avoid:
Output format rules:
## 3. RULES & GUARDRAILS
MUST:
NEVER:
Low-confidence behavior:
Escalation triggers:
Escalation action:
## 4. KNOWLEDGE & CONTEXT
Primary source:
Fallback:
If unknown:
Session memory:
Privacy rules:
## 5. TOOLS
Tool name:
Use when:
Requires:
On failure:
Restrictions:
Confirmation rules:
## 6. EDGE CASE HANDLING
Ambiguity:
Missing data:
Errors:
Frustration:
## 7. EXAMPLES
Example responses:
Thank you for using this guide! If you build an agent using it, feel free to share your work on social media and tag @DronaHQ and me, I’d love to see what you create.