make
3 stories filed under make on Beyond Market Intelligence. The newest of them: “WhatsApp's new lead aims to simplify chats and sharpen AI capabilities”, “From Workflows to Results: Coordinating AI Agents Across Your Business”, and “Transform an Open LLM Into a Fast Classifier by Swapping Its Head”. Kunal Shah wants WhatsApp to make voice notes, groups, stickers, and video "simpler and more expressive." That's a welcome focus. Coordinating AI agents across a business sounds abstract until you frame it as connecting workflows, knowledge, and rules into measurable results. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every make story on Beyond Market Intelligence, newest first.
WhatsApp's new lead aims to simplify chats and sharpen AI capabilities
Kunal Shah wants WhatsApp to make voice notes, groups, stickers, and video "simpler and more expressive." That's a welcome focus. The messaging giant is sharpening its AI capabilities while remembering that communication should feel human, not technical. It's a smart balance. For a deeper look at how AI is reshaping user experiences, see our coverage of how Reddit transforms real user conversations into smarter shopping insights for the holidays.
From Workflows to Results: Coordinating AI Agents Across Your Business
Coordinating AI agents across a business sounds abstract until you frame it as connecting workflows, knowledge, and rules into measurable results. That is the practical promise here: moving from isolated tasks to end-to-end processes that actually deliver. The focus on outcomes over technology keeps it grounded, inviting teams to explore AI as a tool for productivity rather than a novelty. If you are curious how playful AI interfaces shape user expectations, Meta's Waddle World offers a lighter counterpoint.
Transform an Open LLM Into a Fast Classifier by Swapping Its Head
Swapping a language-modeling head for a classification head turns a small Qwen LLM into a fast, single-pass text classifier. That's a practical move, not a theoretical one. It makes open-source models more useful for real tasks without the overhead of full generation. We see this as a natural step toward focused, efficient AI tools. For deeper context on how calibrated models handle high-frequency decisions, our piece "Smart Graph Decisions at Scale" explores that territory. This is about building smarter workflows, not just faster ones.