AI Tools & Frameworks Directory

This article walks through what each technique actually does, why skipping them costs real money and real latency, and then gets hands-on with five specific methods people are running in production right now.

AI agents are everywhere right now. You hear terms like tool calling, agent loops, MCP, guardrails thrown around as if its common language… it isn’t! But that is about to change. Agentic AI isn’t nearly as complicated as it sounds once you understand the few core ideas that actually matter. Here are...

Explore five distinct ways AI is reshaping jobs, from automating routine tasks to thinning entry-level hiring.

In fact, AI projects are not built by simply choosing a model and feeding it data. Furthermore, a successful AI system goes through multiple stages, starting with identifying the right problem and ending with deployment, monitoring, and continuous improvement. This structured journey is known as the...

Everyone's using AI coding agents. Here's how to make yours actually useful.

Kimi Agent is a name that's come to cover a sprawling family, and untangling it matters before judging any piece of it.

Use Grok Build to create a production-ready data science workflow with EDA, scikit-learn, model training, FastAPI, API testing, and cloud deployment.

I have written enough specs for Claude Code now to have hit the failure mode nobody warns you about.  The spec was fine. The plan was fine. Claude worked through the tasks, ran the test suite, and reported everything passing. I looked at the diff properly the next morning and found it had converted ...

Agentic AI research in 2026 has moved past the basic question of whether a model can be called a tool. The harder questions are whether an agent can finish long workflows, survive live websites, verify its own work, recover from failure, and improve its process over time. The five papers below map t...

Run Muse Glimmer locally on an RTX 3090 GPU using llama.cpp, DFlash speculative decoding, and Pi for fast, private, agentic AI coding.

See how AI agents are autonomously handling support, coding, supply chains, healthcare, and fraud detection today.

This article walks through five tools, one for each layer of the stack from building the agent's logic to running all of it at scale.

Download Ollama, pull and serve Qwen3.8-27B, and launch it with OpenCode using just three command lines.

Developers launch new models every week, but most barely change how you work. Kimi K3 is different—not because of benchmark charts, but because of a few small API changes that fundamentally affect how you use it. The first is reasoning_effort, which defaults to maximum, alongside 131,072 max_complet...

But by keeping these limits in mind, and planning for them, we can effectively use these small, local models for the following broad operations scenarios.

This article covers five Python libraries that turn tedious data cleaning into something expressive and genuinely enjoyable.

If you read only five papers on AI agents, make them these.

Long-running AI agents often spend most of their time on routine execution rather than difficult reasoning. After making a plan, they may perform hundreds of tool calls, file reads, validations, commands, and formatting steps, so using a frontier reasoning model for every action can become unnecessa...

Streaming gets used in two different ways when people talk about AI agents. Straighten out your understanding here.

About a month ago, Baidu (often called the “Google of China”) introduced Unlimited-OCR, an advancement over DeepSeek OCR. The model was designed to transcribe long, multi-page documents with high accuracy while delivering fast and stable inference. Unlike conventional vision-language OCR systems, Un...

Most portfolios stop at a notebook. Take yours all the way.

To build your intuition, this article shows three visual proofs that the classic bell curve appears in myriad situations.

Written for CEOs, CTOs, CIOs, and technology executives, our new free ebook "Understanding Agentic AI: An Executive Briefing" walks through the components every real agentic system is built from.

This year, many data teams have added AI agents to their roadmaps. The excitement is real: an agent that turns a two-day analysis into a two-minute conversation can change how analysts and business teams work together. But agents are only as reliable as the data foundation beneath them. Point them a...