1.0Resources

Knowledge base.

In-depth guides, tutorials and best-practice explanations for working with blcks AI.

+

AI

Design, development and integration of intelligent AI automations for real business processes.

Frontend

Modern interfaces for AI solutions. Intuitive, fast and seamlessly integrated into existing systems.

ex
icon

Backend

Scalable infrastructure and APIs for secure, stable and productive AI automations in the enterprise.

All resources

Fundamentals

AI Fundamentals for Business: The Complete Guide 2026

Learn the essential concepts, large language models and architectures behind enterprise AI automation and autonomous agents.

Philipp Fuchs
Philipp Fuchs•Oct 2025
Prompting

Prompt Engineering Basics: The Complete Guide to Better AI Outputs

Practical prompting techniques, examples, testing workflows and templates for more reliable results in your AI automation projects.

Philipp Fuchs
Philipp Fuchs•Oct 2025
Architecture

AI Architecture Basics: Blueprints for Scalable Systems

From RAG to autonomous agent systems: learn how to plan secure, scalable AI infrastructure for your company.

Philipp Fuchs
Philipp Fuchs•Oct 2025
Strategy

AI Use Case Identification: Find Real Potential

A systematic guide to identifying and prioritizing AI automation opportunities with real business value.

Philipp Fuchs
Philipp Fuchs•Oct 2025
UX & Design

Designing AI Interfaces: UX for Agentic Systems

Best practices for intuitive AI interfaces, from conversational assistants and intelligent search to transparent decisions and human review.

Philipp Fuchs
Philipp Fuchs•Oct 2025
Release: 30.06.2026
Workflows

Connecting Legacy Systems to Modern AI Pipelines

Securely connect existing infrastructure with modern large language models.

Philipp Fuchs
Philipp Fuchs•Oct 2025
Release: 31.08.2026
Governance

EU AI Act Compliance: What Companies Need to Know

Regulatory frameworks and compliance requirements for AI in Europe.

Philipp Fuchs
Philipp Fuchs•Oct 2025
Release: 31.10.2026
Engineering

Preventing Hallucinations in LLM Applications

Technical strategies to improve the factual accuracy and reliability of AI outputs.

Philipp Fuchs
Philipp Fuchs•Oct 2025

Build systems that do the work.