60 practical tutorials covering real-world problems with AI tools and agent frameworks.
Model Context Protocol (MCP) is the standard for connecting LLMs and AI agents to external tools and data sources. Activepieces has native support for running and calling MCP servers inside workflows ...
n8n is the dominant open-source automation platform. Activepieces is the fastest-growing alternative. Both are self-hostable, both have visual workflow builders, and both support AI. The differences m...
Agno agents forget everything by default. Here is how to add session memory, user memory, and persistent storage.
Agno's team pattern lets agents delegate, collaborate, and specialise. Here is the setup most tutorials skip.
Most Anthropic SDK tutorials show a single tool call. They don't show what happens when Claude calls three tools in sequence, one tool fails, or the agent needs to decide whether to keep looping. That...
A single Claude agent with 20 tools and a 10,000-token task description works — until it doesn't. Long contexts degrade instruction-following. Too many tools dilutes selection quality. Tasks with clea...
Microsoft's agent ecosystem split into four branches. Here is the plain-English guide to what each one is and which one to build on.
Group chat is AutoGen's most powerful and most opaque feature. Here is a toolkit for when it goes wrong.
Base44 gets you to a working MVP fast. Here is what changes -- and what breaks -- when real users start using it.
Vague prompts get vague apps. Here are the prompting patterns that produce clean, reliable Base44 builds first time.
Most AI browser agents fail in production because websites detect and block them. Here is what triggers detection and what actually works.
Malicious websites can hijack your AI agent by injecting instructions into the page. Here is what it looks like and how to defend against it.
Running a headless browser inside an AI agent sounds straightforward until you hit it in production: Playwright works locally but fails in a container due to missing dependencies. CAPTCHA blocks your ...
Traditional browser automation breaks when the page changes. A button moves, a class name updates, and your CSS selector stops working. Stagehand uses a vision model to interpret the page and translat...
Composio's default setup assumes one user. Here is how to scale it to hundreds of users each with their own connected accounts.
Composio abstracts away tool internals -- great for getting started, painful when something goes wrong. Here is how to debug it.
Static pages are easy. React apps, login-gated content, and aggressive rate limiters are where most crawlers break. Here is how Crawl4AI handles them.
Raw web pages are full of noise that degrades RAG quality. Here is how to configure Crawl4AI to extract the content that actually matters.
GitHub Issue #3154 -- agents simulate tool usage instead of actually calling tools. Here's why it happens and how to stop it.
Downstream agents ignoring upstream results is CrewAI's most-reported production bug. Here's what's happening and how to fix it.
When Dify's built-in nodes aren't enough, Code nodes let you write Python or JavaScript logic directly in your workflow. Here's how.
Dify's default knowledge base setup works for demos. Here's what you need to change before it's production-ready.
Hand-written prompts are brittle. Change the model version, change the task slightly, or add a new requirement, and your carefully tuned prompt produces worse results. You tweak it. You test it. You t...
DSPy compilation (optimization) finds the best prompts, instructions, and few-shot examples for your program by running it repeatedly against a training dataset and scoring the outputs with your metri...
Every request builds a graph that never gets freed. Here is why Flowise leaks memory, and the configuration changes that stop it.
Horizontal scaling with Flowise is possible but barely documented. Here is the full setup: Redis, load balancing, and shared storage.
Running ADK agents locally is straightforward. Getting them into production -- with scaling, auth, and monitoring -- requires a few extra steps.
ADK has five built-in agent types. Most tutorials only show LlmAgent. Here is when each one is the right choice.
When a Haystack pipeline fails silently or returns bad results, here is how to find exactly which component is the problem.
Haystack's component protocol is powerful but poorly explained. Here is how to write custom components that work first time.
Loops, stuck states, and invisible failures are LangGraph's hardest debugging problems. Here's a toolkit to solve them.
LangGraph has three distinct memory concepts that confuse almost every builder. Here's the plain-English guide.
LlamaIndex has at least five ways to query your data. Most tutorials only show one. Here is when to use each.
Default LlamaIndex settings are great for demos. Here are the five changes that make retrieval good enough for production.
Three deployment paths, three very different trade-offs. Here is a plain-English guide to which one fits your situation.
Mastra does not persist workflow execution state by default. Here is what breaks, why, and four patterns to fix it.
A decision guide to sub-workflows, AI Agent Tool nodes, and Execute Workflow -- and when each one makes sense.
The Simple Vector Store is fine for prototypes. This guide covers what you actually need: persistent stores, dynamic updates, and hybrid search.
The Assistants API shuts down August 26, 2026. Here is exactly what changes, what you need to rewrite, and what stays the same.
The Agents SDK handoff system lets agents delegate to specialists. Here is how it works and the patterns that hold up in production.
OpenClaw went from 9k to 210k GitHub stars in January 2026. That kind of growth is almost never about the code — it is about timing, a viral demo, and the right Hacker News thread. Understanding what ...
This creates an agent with no tools — it can only reason with the model's built-in knowledge. Useful for confirming your API key works.
Pipedream's AI workflow builder is useful but has real limitations. Here is what experienced builders do when they hit the ceiling.
Pipedream Connect lets your users authenticate third-party apps inside your product. Here is everything you need to know before you ship it.
PydanticAI's DI system lets you inject databases, API clients, and config into agents without global state. Here is how it works.
PydanticAI's killer feature is type-safe, validated agent outputs. Here is how to use it properly -- and what breaks when you don't.
Relevance AI's two-part billing model confuses almost every new user. Here is how it works and how to stay in control.
Relevance AI's tool builder turns any API or data source into an agent skill. Here is how to build tools that actually work reliably.
Credits can burn faster than expected with Replit Agent. Here is how pricing works and how to make it more predictable.
Replit Agent is impressive for some tasks and unreliable for others. Here is an honest map of both, based on real community testing.
Microsoft merged both frameworks into Agent Framework in 2025. Whether you need to migrate right now depends on your situation.
SK plugins are powerful but have sharp edges. Here is everything the quickstart tutorials skip.
Smolagents was built by HuggingFace with open-source and local models as a first-class concern. Unlike frameworks that assume GPT-4 or Claude, Smolagents is designed to run on models you control — on ...
Smolagents ships two agent types with fundamentally different execution models. Most frameworks hide this choice. Smolagents makes it explicit.
Stack AI's document processing is powerful but has configuration choices that significantly affect retrieval quality. Here is what to set and why.
Stack AI is enterprise-first and over-engineered for simple use cases. Here is the honest guide to when it is worth it.
High latency is Voiceflow's most-reported production pain point. Here are the root causes and the fixes that actually work.
Comparing agents, managing versions, and running regression tests in Voiceflow requires workarounds. Here they are.
Zapier AI Agents (formerly Zapier Copilot) is an AI-powered layer on top of Zapier's automation infrastructure. You describe a task in plain English, and the agent decides which Zapier integrations to...
Zapier charges a premium. n8n and Dify are cheaper (or free to self-host). The question is not which tool is objectively better — it is which tool is right for your team's technical level, workflow co...
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