Agent = instructions + knowledge + tools + policy
In Papple AI each agent has a versioned system prompt, an optional knowledge base, a workflow of AI and tool steps, and an approval policy. That combination makes behavior predictable and auditable.
AI agents
AI agents that execute, not just chat
A chatbot answers a question. An AI agent takes a goal — reply to this customer, qualify this lead, invoice this client — and carries out the steps with the tools and knowledge it has been given.
Architecture
The workflow engine behind every agent
- TriggerForm, webhook, email, schedule or API
- AI processingClassify, extract, draft, reason over your knowledge
- Tools & actionsEmail, CRM, invoices, calendar, HTTP APIs
- ApprovalA person approves consequential actions
- ExecutionThe exact approved payload runs — nothing else
- ResultOutputs, records and files you can use
- Audit logHash-chained record of every step
A practical guide
Structured over free-form
Agents produce JSON at decision points (priority, score, line items) so later steps and conditions can branch reliably, rather than parsing prose.
Grounded answers
Knowledge-base retrieval injects the most relevant passages from your documents into each AI step, and prompts instruct the agent to rely only on them.
People stay accountable
Roles decide who can build agents, who can approve actions and who can only view. Every decision is attributed in the audit log.
Agents you can start with
AI Customer Support Agent
Answers tickets from your knowledge base and routes what needs a human.
Learn moreAI Email Agent
Triages inbound email, extracts action items and drafts replies.
Learn moreAI Lead Qualification Agent
Scores inbound leads, logs them to CRM and alerts sales on hot ones.
Learn moreAI Invoice Agent
Turns a plain-language work summary into an itemized invoice.
Learn moreAI Meeting Assistant
Turns transcripts into decisions, owners, deadlines and a follow-up email.
Learn moreAI Document Agent
Extracts parties, dates, obligations and risks from contracts and documents.
Learn moreFAQ
How is an AI agent different from a chatbot?
A chatbot generates responses in a conversation. An agent runs a defined workflow: it classifies, retrieves, drafts and then uses tools to create records, send messages or call APIs — with approvals for consequential steps.
Can agents use my company documents?
Yes. Upload TXT, Markdown, CSV, JSON, HTML, DOCX or text-based PDF files to a knowledge base and connect it to any agent.
Which AI model do agents use?
The platform connects to leading model providers configured by the administrator. Token usage is metered per step and converted to credits.
Put your first agent to work today
Free plan, no card. Install an agent from the marketplace and run it on real work in minutes.