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You open your inbox on December 1 and… it’s like the AI party you’ve been building toward finally shows up. 🎊 The smoke machine is on, the lights are dimmed, and across the stage major players drop launch dates, new rules, and fresh infrastructure.
For us builders, no-code plug-ins, startup founders and curious AI tinkerers: this isn’t a “nice to watch” window—it’s the prep zone for 2026.
In this edition of Like Magic AI we map out the big shifts that are queued for December and beyond — so you can move from “Reacting to AI” to “Shaping AI”.

The future of AI feels Like Magic, and it’s here!

Big Idea: “Agentic Shift + Infrastructure Boom = Your Builder Window”

In the past year, we’ve seen growing use of agent-style AI systems (so-called “agentic AI”) — reported by MyKinsey (to my surprise, not just a corporate BS report) - those that don’t just answer your prompt, they act, plan, execute workflows.
As we approach December 2025 and move into 2026, two things converge:

Infrastructure & hardware launches (think new upscaling tech, GPU/ML compute, new model capabilities) are set to drop. Example: AMD announces its AI-enhanced “Redstone” upscaling tech for December 10.

Regulatory & adoption context grips: More enterprises will push agentic use-cases into production, while regulators and markets ask “how safe, how scalable, how governed?” Read
For you as a builder: this means you’re not just waiting for a “better GPT” — you’re building the orchestration layer, the glue between agentic AI + real workflows + user value.

I was pleasantly surprised by McKinsey’s State of AI report and would even encourage reading it in full if you have the time. I expected more corporate fluff and BS….

What to do now:

1. Map your stack with an “agentic module” in mind: what part of your product can delegate action, not just answer prompts?

2. Stress-test your deployment thinking: once you plug in an agent that acts, what logging, audit, rollback mechanisms do you need?

3. Set badge launch keystones: plan a minimum viable agent-capability by Q1 2026 (even if metric is “executes one meaningful step per user”).
   Because the infrastructure is aligning, the runway is open — you just need to take the leap.

News Snippets / What’s Coming

• Meta Platforms uses AI-chat data for content + ads starting Dec 16
  Meta will begin using users’ interactions with its generative-AI features to personalise content and ads across its apps from December.
  Why it matters: If you build agents that integrate with user-chat or platform data, keep an eye on how data flows and ad-ecosystem interplay evolves.

  

• December’s key AI conferences = trend-setting moments
  The major December 2025 events (e.g., NeurIPS 2025, Global AI Show) will not only recap 2025 but set tone for 2026.
  Why it matters: These are gold-mines for spotting what toolkits, models, and ecosystems will gain traction in the next 12 months.

• Enterprise AI still stuck at pilot-to-scale transition
  According to the latest survey, 88% of organizations use AI in at least one function, but only ~33% have started scaling broadly.
  Why it matters: It means two things — one: plenty of greenfield opportunity for builders; two: you’ll need to design for scale now, not later.

• Governance, contracts and supplier risk come to front
  Legal teams and AI procurement are watching IP, data-sharing, audit/regulation more closely this winter.
  Why it matters: If you’re offering AI-modules/agents to enterprises, your contract terms, audit logs, data-use transparency will matter as much as the code.

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Learn more.

Tool / Build Highlight

Spotlight: “Agent Pipeline Kit” (fictional name, adjust to actual tool you find)
Think of a no-code framework that lets you spin up a multi-step agent: trigger → evaluate → action → audit.
Why it matters now: As we build into 2026, agents are no longer “chatbox add-ons” but orchestration engines. Having a kit that maps their pipeline (with audit/logging built-in) gives you a head-start.
Try this: Build a mini-agent that monitors your user metric (e.g., “customer hasn’t used feature X in 7 days”), triggers a chat prompt (“Hey, want help with X?”), then if the user accepts, executes an action (in your product) and logs the result.
Bonus: Add a “why did I do that” audit line so you’re ready for enterprise usage from day one.

Builder / Founder Tip

“Design for the next-wave, not just the current bump.”
Many builders chase the “latest model” or “biggest token window” hype. But as you look into December 2025 → 2026, ask yourself:

1. Will my product still work if the AI model is swapped out next year?

2. Am I building an agent + workflow layer so the underlying model can change?

3. Have I baked in monitoring, transparency, rollback for real-world use.

The winners in the next 12–18 months will be those who think about changeability, not just “what can I build right now”.

84% Deploy Gen AI Use Cases in Under Six Months – Real-Time Web Access Makes the Difference

Outdated or blocked web data means more time fixing, less time building. Bright Data delivers real-time data to your AI agents so you can scale, improve reliability, and drive growth.

Power Your AI

Introducing Spline AI: The Tool That Makes 3D Feel Effortless

For years, 3D design has lived behind a wall of complexity — thick software, steep learning curves, and interfaces that look like airplane cockpits. But that’s changing fast. A new wave of AI tools is finally making 3D accessible, playful, and lightweight.

At the front of that wave is Spline AI, a browser-based platform that lets anyone create 3D objects and animations simply by describing them. No technical skills required. No heavy rendering. No crashing laptops.

With features like text-to-3D generation, intuitive drag-and-drop editing, instant animations, and easy export options for video, web, and even AR, Spline AI feels less like “professional software” and more like a creative playground. It’s perfect for designers, marketers, teachers, founders — or anyone who wants studio-quality 3D visuals without the pain.

In the full article, we walk through what makes Spline AI so fun to use, where it performs best, where it still has quirks, and how it stacks up against traditional 3D workflows. We also tested it with a simple prompt (“3D fox with curious eyes”) — and what it produced was both impressive and hilariously unexpected.

If you’ve ever wanted to experiment with 3D but felt intimidated, this might be the moment everything changes.
Here’s the deeper dive.

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