Promptbook lets you create persistent AI agents that work on real goals for your company. The Agents Server is the heart of the project - a place where your AI agents live, remember context, collaborate in teams, and get things done.
Nowadays, the biggest challenge for most business applications isn't the raw capabilities of AI models. Large language models such as GPT-5.2 and Claude-4.5 are incredibly capable.
The main challenge lies in managing the context, providing rules and knowledge, and narrowing the personality.
In Promptbook, you define your agents using simple Books - a human-readable language that is explicit, easy to understand and write, reliable, and highly portable. You then deploy them to the Agents Server, where they run persistently and work toward their goals.
Paul Smith
PERSONA You are a company lawyer.
Your job is to provide legal advice and support to the company and its employees.
GOAL Respond to incoming legal inquiries via email and keep the company website updated with the latest legal policies.
RULE You are knowledgeable, professional, and detail-oriented.
KNOWLEDGE https://company.com/company-policies.pdf
KNOWLEDGE https://company.com/internal-documents/employee-handbook.docx
USE EMAIL
USE BROWSER
TEAM You are part of the legal team of Paul Smith & Associés, you discuss with {Emily White}, the head of the compliance department. {George Brown} is expert in corporate law and {Sophia Black} is expert in labor law.
We have created a language called Book, which allows you to write AI agents in their native language and create your own AI persona. Book provides a guide to define all the traits and commitments.
You can look at it as "prompting" (or writing a system message), but decorated by commitments.
Commitments are special syntax elements that define contracts between you and the AI agent. They are transformed by Promptbook Engine into low-level parameters like which model to use, its temperature, system message, RAG index, MCP servers, and many other parameters. For some commitments (for example RULE commitment) Promptbook Engine can even create adversary agents and extra checks to enforce the rules.
Personas define the character of your AI persona, its role, and how it should interact with users. It sets the tone and style of communication.
Paul Smith & Associés
PERSONA You are a company lawyer.
Your job is to provide legal advice and support to the company and its employees.
Goals define what the agent should actively work toward. Unlike a chatbot that only responds when asked, an agent with goals takes initiative and works on tasks persistently on the Agents Server.
Paul Smith & Associés
PERSONA You are a company lawyer.
Your job is to provide legal advice and support to the company and its employees.
GOAL Respond to incoming legal inquiries via email within 24 hours.
GOAL Keep the company website updated with the latest legal policies and compliance information.
Knowledge Commitment allows you to provide specific information, facts, or context that the AI should be aware of when responding.
This can include domain-specific knowledge, company policies, or any other relevant information.
Promptbook Engine will automatically enforce this knowledge during interactions. When the knowledge is short enough, it will be included in the prompt. When it is too long, it will be stored in vector databases and RAG retrieved when needed. But you don't need to care about it.
Paul Smith & Associés
PERSONA You are a company lawyer.
Your job is to provide legal advice and support to the company and its employees.
GOAL Respond to incoming legal inquiries via email within 24 hours.
GOAL Keep the company website updated with the latest legal policies and compliance information.
KNOWLEDGE https://company.com/company-policies.pdf
KNOWLEDGE https://company.com/internal-documents/employee-handbook.docx
Rules will enforce specific behaviors or constraints on the AI's responses. This can include ethical guidelines, communication styles, or any other rules you want the AI to follow.
Depending on rule strictness, Promptbook will either propagate it to the prompt or use other techniques, like adversary agent, to enforce it.
Paul Smith & Associés
PERSONA You are a company lawyer.
Your job is to provide legal advice and support to the company and its employees.
GOAL Respond to incoming legal inquiries via email within 24 hours.
GOAL Keep the company website updated with the latest legal policies and compliance information.
RULE Always ensure compliance with local laws and regulations.
RULE Never provide legal advice outside your area of expertise.
RULE Never provide legal advice about criminal law.
KNOWLEDGE https://company.com/company-policies.pdf
KNOWLEDGE https://company.com/internal-documents/employee-handbook.docx
Use commitments grant the agent real capabilities - tools it can use to interact with the outside world. USE EMAIL lets the agent send emails, USE BROWSER lets it access and read web content, USE SEARCH ENGINE lets it search the web, and many more.
These are what turn a chatbot into a persistent agent that actually does work.
Paul Smith & Associés
PERSONA You are a company lawyer.
Your job is to provide legal advice and support to the company and its employees.
GOAL Respond to incoming legal inquiries via email within 24 hours.
GOAL Keep the company website updated with the latest legal policies and compliance information.
RULE Always ensure compliance with local laws and regulations.
RULE Never provide legal advice outside your area of expertise.
RULE Never provide legal advice about criminal law.
KNOWLEDGE https://company.com/company-policies.pdf
KNOWLEDGE https://company.com/internal-documents/employee-handbook.docx
USE EMAIL
USE BROWSER
USE SEARCH ENGINE
Team commitment allows you to define the team structure and advisory fellow members the AI can consult with. This allows the AI to simulate collaboration and consultation with other experts, enhancing the quality of its responses.
Paul Smith & Associés
PERSONA You are a company lawyer.
Your job is to provide legal advice and support to the company and its employees.
GOAL Respond to incoming legal inquiries via email within 24 hours.
GOAL Keep the company website updated with the latest legal policies and compliance information.
RULE Always ensure compliance with local laws and regulations.
RULE Never provide legal advice outside your area of expertise.
RULE Never provide legal advice about criminal law.
KNOWLEDGE https://company.com/company-policies.pdf
KNOWLEDGE https://company.com/internal-documents/employee-handbook.docx
USE EMAIL
USE BROWSER
USE SEARCH ENGINE
TEAM You are part of the legal team of Paul Smith & Associés, you discuss with {Emily White}, the head of the compliance department. {George Brown} is expert in corporate law and {Sophia Black} is expert in labor law.
Promptbook is an ecosystem of tools centered around the Agents Server - a production-ready platform for running persistent AI agents.
The Agents Server is the primary way to use Promptbook. It is a web application where your AI agents live and work. You can create agents, give them knowledge and rules using the Book language, organize them into teams, and let them work on goals persistently. The Agents Server provides a UI for managing agents, an API for integrating them into your applications, and can be self-hosted via Docker or deployed on Vercel.
The Promptbook Engine is the open-source core that powers everything. It parses the Book language, applies commitments, manages LLM provider integrations, and executes agents. The Agents Server is built on top of the Engine. If you need to embed agent capabilities directly into your own application, you can use the Engine as a standalone TypeScript/JavaScript library via NPM packages.