+
+
+
+### Aspects of great AI agent
+
+We have created language called **Book** which allows you to write AI agents in their native language and create truly **your 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**.
+
+#### `Persona` commitment
+
+Persona defines the character of your AI persona, its role, and how it should interact with users. It sets the tone and style of communication.
+
+
+
+
+#### `Knowledge` commitment
+
+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 database and RAG retrieved when needed. But you don't need to care about it.
+
+
+
+
+#### `Rule` commitment
+
+Rule 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.
+
+Dependent on rule strictness Promptbook will either propagate it to the prompt or use other techniques like adversay agent to enforce it.
+
+
+
+
+#### `Action` commitment
+
+Action commitment allows you to define specific actions that the AI can take during interactions. This can include things like posting on a social media platform, sending emails, creating calendar events or interacting with your internal systems.
+
+
+
+
+[Read more about the language](./BLUEPRINT.md)
+
+
+
+### Where to use your AI agent in book
+
+Books can be useful in various applications and scenarios. Here are some examples:
+
+#### Chat apps
+
+Create your own chat shopping assistant and place it in your eshop.
+You will be able to answer customer questions, help them find products, and provide personalized recommendations. Everything is tightly controlled by the book you have written.
+
+#### Reply Agent
+
+Create your own AI agent which will look at your emails and reply to them. It can even create drafts for you to review before sending.
+
+#### Coding Agent
+
+Do you love Vibecoding but the AI code is not always inlined with your coding style and architecture, rules, security etc,? Create your own coding agent to help enforce your specific coding standards and practices.
+
+This can be integrated to almost any vibecoding platform like GitHub Copilot, Amazon CodeWhisperer, Cursor, Cline, Kilocode, Roocode,...
+
+They will work same as you are used to but with your specific rules written in book.
+
+#### Internal Expertize
+
+Do you have app written in TypeScript, Python, C#, Java, or any other language and you are integrating the AI.
+
+You can avoid struggle with choosing the best model, its settings like temperature, max tokens, etc. by writing a book agent and using it as your AI expertize.
+
+Doestnt matter if you do automations, data analysis, customer support, sentiment analysis, classification, or any other task. Your AI agent will be tailored to your specific needs and requirements.
+
+Even works in no-code platforms
-The incredible growth in power of microprocessors and the Moore's Law have been the driving force behind the ever-more powerful languages, and it's been an amazing journey! Similarly, the large language models (like GPT or Claude) are the next big thing in language technology, and they're set to transform the way we interact with computers.
+
-This shift will happen whether we're ready or not. Our mission is to make it excellent, not just good.
+### How to create your AI agent in book
-**Join us in this journey!**
+Now you want to use it. There are several ways how to write your first book:
+
+#### From scratch with help from Paul
+
+We have written ai asistant in book who can help you with writing your first book.
+
+
+
+#### Your AI twin
+
+Copy your own behavior, personality, and knowledge into book and create your AI twin. It can help you with your work, personal life, or any other task.
+
+
+
+#### AI persona workpool
+
+Or you can pick from our library of pre-written books for various roles and tasks. You can find books for customer support, coding, marketing, sales, HR, legal, and many other roles.
@@ -152,89 +302,7 @@ Join our growing community of developers and users:
-
-
-
-## 📘 Book Language Blueprint
-
-_A concise, Markdown-based DSL for crafting AI workflows and automations._
-
-
-
-### Introduction
-
-Book is a Markdown-based language that simplifies the creation of AI applications, workflows, and automations. With human-readable commands, you can define inputs, outputs, personas, knowledge sources, and actions—without needing model-specific details.
-
-### Example
-
-```book
-# 🌟 My First Book
-
-- BOOK VERSION 1.0.0
-- URL https://promptbook.studio/hello.book
-- INPUT PARAMETER {topic}
-- OUTPUT PARAMETER {article}
-
-# Write an Article
-
-- PERSONA Jane, marketing specialist with prior experience in tech and AI writing
-- KNOWLEDGE https://wikipedia.org/
-- KNOWLEDGE ./journalist-ethics.pdf
-- EXPECT MIN 1 Sentence
-- EXPECT MAX 5 Pages
-
-> Write an article about {topic}
-
-→ {article}
-```
-
-Each part of the book defines one of three circles:
-
-### **1. What:** Workflows, Tasks and Parameters
-
-What work needs to be done. Each book defines a [workflow _(scenario or pipeline)_](https://github.com/webgptorg/promptbook/discussions/88), which is one or more tasks. Each workflow has a fixed input and output. For example, you have a book that generates an article from a topic. Once it generates an article about AI, once about marketing, once about cooking. The workflow (= your AI program) is the same, only the input and output change.
-
-**Related commands:**
-
-- [PARAMETER](https://github.com/webgptorg/promptbook/blob/main/documents/commands/PARAMETER.md)
-
-### **2. Who:** Personas
-
-Who does the work. Each task is performed by a persona. A persona is a description of your virtual employee. It is a higher abstraction than the model, tokens, temperature, top-k, top-p and other model parameters.
-
-You can describe what you want in human language like `Jane, creative writer with a sense of sharp humour` instead of `gpt-4-2024-13-31, temperature 1.2, top-k 40, STOP token ".\n",...`.
-
-Personas can have access to different knowledge, tools and actions. They can also consult their work with other personas or user, if allowed.
-
-**Related commands:**
-
-- [PERSONA](https://github.com/webgptorg/promptbook/blob/main/documents/commands/PERSONA.md)
-
-
-
-### **3. How:** Knowledge, Instruments and Actions
-
-The resources used by the personas are used to do the work.
-
-**Related commands:**
-
-- [KNOWLEDGE](https://github.com/webgptorg/promptbook/blob/main/documents/commands/KNOWLEDGE.md) of documents, websites, and other resources
-- [INSTRUMENT](https://github.com/webgptorg/promptbook/blob/main/documents/commands/INSTRUMENT.md) for real-time data like time, location, weather, stock prices, searching the internet, calculations, etc.
-- [ACTION](https://github.com/webgptorg/promptbook/blob/main/documents/commands/ACTION.md) for actions like sending emails, creating files, ending a workflow, etc.
-
-### General Principles
-
-Book language is based on markdown. It is subset of markdown. It is designed to be easy to read and write. It is designed to be understandable by both humans and machines and without specific knowledge of the language.
-
-The file has a `.book` extension and uses UTF-8 encoding without BOM.
-
-Books have two variants: flat — just a prompt without structure, and full — with tasks, commands, and prompts.
-
-As it is source code, it can leverage all the features of version control systems like git and does not suffer from the problems of binary formats, proprietary formats, or no-code solutions.
-
-But unlike programming languages, it is designed to be understandable by non-programmers and non-technical people.
-
-
+
diff --git a/books/diagram/books.drawio b/books/diagram/books.drawio
new file mode 100644
index 00000000..5fdfce58
--- /dev/null
+++ b/books/diagram/books.drawio
@@ -0,0 +1,30 @@
+
+ *
+ * @param content The markdown content that may contain book blocks
+ * @returns The content with book blocks replaced by img tags
+ */
+export function embedBooks(content: string): string {
+ // Regular expression to match ```book blocks
+ const bookRegex = /```book\s*\n([\s\S]*?)\n```/g;
+
+ return content.replace(bookRegex, (match, bookContent) => {
+ // Clean up the book content and extract title
+ const lines = bookContent.trim().split('\n');
+ const title = lines[0]?.trim() || 'Untitled';
+
+ // Prepare the book content for URL encoding
+ // Add pipe separators for line breaks as shown in the example
+ const formattedContent = lines
+ .map((line: string) => line.trim())
+ .filter((line: string) => line.length > 0)
+ .join('\n | ')
+ .replace(/\n \| $/, ''); // Remove trailing empty pipe
+
+ // Generate a simple nonce (could be more sophisticated)
+ const nonce = 0; // Math.floor(Math.random() * 1000);
+
+ // Create the img tag
+ return spaceTrim(
+ (block) => `
+
+
+ }&width=800&height=450&nonce=${nonce})
`,
+ );
+ });
+}
diff --git a/scripts/import-markdown/placeImports.ts b/scripts/import-markdown/placeImports.ts
index 7c87be3d..fc7951bf 100644
--- a/scripts/import-markdown/placeImports.ts
+++ b/scripts/import-markdown/placeImports.ts
@@ -1,5 +1,6 @@
import { spaceTrim } from 'spacetrim';
import { GENERATOR_WARNING, IMPORT_REGEX } from '../config';
+import { embedBooks } from './embedBooks';
import { increaseHeadings } from './increaseHeadings';
import { removeComments } from './removeComments';
@@ -33,6 +34,7 @@ export async function placeImports(
importedContent = removeComments(importedContent);
importedContent = increaseHeadings(importedContent);
+ importedContent = embedBooks(importedContent);
const placedContent = spaceTrim(
(block) => `