Google Deep Research Max: Build Autonomous AI Research Agents in Minutes
Google just changed how developers do research. On April 21, 2026, they launched Deep Research Max. It runs on Gemini 3.1 Pro and is not just another chatbot upgrade. This is an autonomous AI research agent. It plans, searches, reads, reasons, and writes, all from a single API call. By the end, you ...
Cursor V3 Explained: The AI Coding Agent That’s Replacing Traditional IDEs in 2026
In 2026, AI-powered coding tools began revolutionizing software development, with Cursor v3 emerging as a leading example. Unlike traditional development environments, Cursor v3 offers a new way for developers to interact with their code by utilizing AI agents that assist in coding tasks. Cursor v3 ...
DeepSeek-V4: The Most Powerful Open-Source Model Ever
The latest set of open-source models from DeepSeek are here. While the industry anticipated the dominance of “closed” iterations like GPT-5.5, the arrival of DeepSeek-V4 has ticked the dominance in the favour of open-source AI. By combining a 1.6 trillion parameter MoE architecture with a massive 1 ...
OpenAI is on a roll! While the company had everyone going gaga over its new image generation model, the ChatGPT Images 2.0, it decided now is not the time to stop. And lo and behold, out comes another banger from its offices, and mind you, this is the bigger one. The new version of its […]
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Design has traditionally required multiple roles working in sequence: a strategist to define the problem, a designer to shape the solution, and a developer to build it. This means coordinating timelines, aligning opinions, and going through rounds of iteration before anything tangible is created. Cl...
Learn faster, build smarter, and unlock the full power of Claude Code through real examples, reusable templates, prompts, workflows, subagents, and system design.
Build Human-Like AI Voice App with Gemini 3.1 Flash TTS
AI voice generation has a major problem. It works like a robot, reading a script phrase by phrase, with no feelings or emotions. It might be clever, but it matters less if there is no human feeling attached to it. The way the AI generates its voice makes it hard to feel like you’re having […]
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Anthropic Launches Claude Opus 4.7 For “Most Difficult Tasks”
Artificial intelligence is rapidly developing. The minute we become accustomed to one breakthrough, another comes to shift our expectations. The new model, Claude Opus 4.7, that Anthropic introduced recently, is one such shift. The release tends to go beyond mere AI chatbots and makes AI a trusted, ...
OpenAI Announces GPT-5.4-Cyber But You Can’t Get it Just Yet
The question around AI, and I mean the pinnacle of AI, not your regular “write me an email”, is shifting. What used to be “what can it do for me?” has now become “who gets to use it?” We saw this recently with Anthropic’s Claude Mythos Preview – a supposed epitome of AI models that […]
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Mastering Deep Agents: Context Engineering that Actually Works
Deep Agents can plan, use tools, manage state, and handle long multi-step tasks. But their real performance depends on context engineering. Poor instructions, messy memory, or too much raw input quickly degrade results, while clean, structured context makes agents more reliable, cheaper, and easier ...
We have come far in our series of Excel 101, exploring various functions and formulas of the service and how best to use them in real-world scenarios. For those who are new to this, make sure to check out the complete list of Excel functions that we have covered so far in the links shared […]
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MiniMax M2.7 Goes Open-Weight to Let You Run Agents Locally
Following in the footsteps of the recently released Gemma 4, MiniMax has now made its latest model, MiniMax M2.7, completely open-weight. In simple terms, developers can now download the model, run it on their own systems, and start building with it. This is in contrast with the model being a comple...
Understanding BERTopic: From Raw Text to Interpretable Topics
Topic modeling uncovers hidden themes in large document collections. Traditional methods like Latent Dirichlet Allocation rely on word frequency and treat text as bags of words, often missing deeper context and meaning. BERTopic takes a different route, combining transformer embeddings, clustering, ...
From Karpathy’s LLM Wiki to Graphify: AI Memory Layers are Here
Most AI workflows follow the same loop: you upload files, ask a question, get an answer, and then everything resets. Nothing sticks. For large codebases or research collections, this becomes inefficient fast. Even when you revisit the same material, the model rereads it from scratch instead of build...