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There can be some practical constraints when it comes to deploying the AI models for retail environments. Retail environments can include store-level systems, edge devices, and budget conscious setup, especially for small to medium-sized retail companies. One such major use case is demand forecastin
There’s a lot of noise right now making it seem like you have to pick a side between MCP and Agent Skills. It’s being framed like a high-stakes rivalry, but that’s a total misunderstanding of the tech. Skills and MCP is fundamentally different things. Skills are just a prompt loaded on demand, while
April has been a busy month in the world of AI. Two major AI models, hailing from the biggest AI companies of today, saw their debuts simultaneously. Anthropic was the first to drop Opus 4.7, and close to follow on its heels was OpenAI, which came out with its GPT-5.5. Though the leading models from
Coding assistants have moved beyond autocomplete into full agents that can read projects, run commands, edit files, and iterate toward outcomes. Tools like Claude Code and Codex both operate in this space, but take different approaches. Claude Code centers on a unified agent loop across environments
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
Meta’s big moment is here. The Meta Superintelligence Labs has launched Muse Spark, its first AI model aiming at “personal superintelligence.” The journey to this point has been eventful, from building the widely adopted Llama family of open-source models to aggressive talent acquisitions that sent
Google’s Nano Banana Pro finally has a worthy competitor, and if the results are anything to go by, it looks like this one may give it a run for its money. Putting its hat in the ring is none other than OpenAI, with its all-new ChatGPT Images 2.0. Now we all know the kind of […] The post ChatGPT Ima
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
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 […] The post
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
The AI image generation space has been highly competitive over the past 18 months. Models keep improving and replacing each other at the top. Google’s Nano Banana went viral in mid-2025. It topped the benchmarks and set a new standard for image quality. Now OpenAI has released ChatGPT Images 2.0, po
A year or two ago, using advanced AI models felt expensive enough that you had to think twice before asking anything. Today, using those same models feels cheap enough that you don’t even notice the cost. This isn’t just because “technology improved” in a vague sense. There are specific reasons behi
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
Computer Vision remains one of the most commercially valuable areas in AI. Powering applications from autonomous driving to medical imaging and generative systems. But breaking into the field requires more than just theory! A strong portfolio of practical projects is what sets you apart. This guide
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
If you’re still using a standard chatbot for your AI work, you’re missing a lot of features. And I mean a lot! AI Studio is the workshop offered by Google, designed for those who want to prototype, build, and deploy without needing a PhD in computer science. Whether you’re writing for an email, crea
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 […] The post GPT-
Even though we know prompting matters, most people are still using Claude like a glorified Google search. Let me lead by example – “Summarise this into 3 sentences max.” Sounds familiar? Well, there may be nothing wrong in typing such a prompt, but truth be told, all these letters are good for an ar
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,
Imagine asking your AI model, “What’s the weather in Tokyo right now?” and instead of hallucinating an answer, it calls your actual Python function, fetches live data, and responds correctly. That’s how empowering the tool call functions in the Gemma 4 from Google are. A truly exciting addition to o