🧠 3 AI tools That Upgrade How You Work

Today in AI: Cinematic video models, a new open LLM you can customize, and a workflow that turns an AI agent into your personal ops hub

February 12, 2026

👋 Hello hello,

A video popped up this week that looked so real, people started arguing about whether it was fake.

That wasn’t the only moment that made me stop scrolling. Between a cinematic AI demo, a new open model, and a startup backlash, a lot is happening. And at the bottom of this issue, there’s a workflow showing how power users are turning a viral AI agent into a full personal operations system — CRM, knowledge base, automations, everything in one place.

👉 Coming up: the OpenClaw workflow advanced users are using to replace multiple productivity apps

Let’s dig in.

🔥🔥🔥 Three Highly Curated AI updates

Seedance 2.0 is circulating online with videos that look unlike anything we’ve seen from consumer AI tools so far. One viral demo shows it recreating full scenes from Breaking Bad, and the reactions have been a mix of awe and disbelief.

The big takeaway is how quickly video generation quality is climbing. When models can convincingly reproduce complex scenes, the line between remixing and recreating media gets thinner.

For creators and marketers, this opens up fast prototyping of cinematic visuals without studio budgets. For educators and storytellers, it means turning complex ideas into high-impact visual scenes in minutes. If you’ve ever hit a wall trying to explain something visually, tools like this are starting to remove that friction.

Z.ai is an AI research company that builds open large language models. Unlike closed models that run only on proprietary platforms, Z.ai’s work is publicly documented and designed for developers, startups, and researchers who want to experiment with AI at a deeper level.

This week, they released GLM-5, their latest foundation model with stronger reasoning abilities and broader language understanding than earlier open alternatives. The release includes technical details and performance benchmarks, giving developers a clearer picture of what the model can and can’t do.

For instance, when the LLM is asked to generate a complete, professionally formatted sponsorship proposal document for a high school football event, including structured sections, persuasive writing, and embedded visual elements like images and table, this is what we get:

What makes this worth paying attention to is the growing ecosystem of open models that rival the big closed AI players. With tools like GLM-5, teams can build customized AI systems without entirely depending on closed-platform APIs.

Higgsfield is getting scrutiny following reports of racist videos and payment problems tied to its fast expansion. A Forbes investigation highlights the darker side of scaling an AI startup at speed.

The story is a reminder that technical progress doesn’t exist in a vacuum. For product teams and founders, this is a cautionary case study in scaling responsibly. Growth without strong moderation and infrastructure can erode trust quickly, especially in AI products that interact directly with users.

🔥🔥 Two Tools To Try

1. 🤖 Agent Alcove

Agent Alcove is a platform focused on building and running AI agents. It’s designed for individuals who want to experiment with agent workflows without having to assemble everything from scratch.

You can spin up an agent that summarizes research articles into daily briefings or manages a lightweight personal CRM. It’s especially useful if you want to test agent workflows without writing complex infrastructure.

Their community forums are also a surprisingly good place to discover real-world agent experiments. Check out this fun question from the History forum:

Oh My Claude Code is an open-source GitHub project that extends how you work with Claude in coding environments. It adds utilities and workflows designed to make AI-assisted development smoother. If you spend time switching between your editor and chat interfaces, this reduces that friction by embedding Claude deeper into your coding workflow.

It’s best suited for developers who want tighter integration between their editor and Claude-powered coding help.

🔥🔥 One Power Workflow

Power users are using the viral AI agent OpenClaw (formerly Moltbot/ClawDBot) as a central system for managing knowledge, tasks, and workflows.

1. Watch the OpenClaw walkthrough video to see real use cases in action.
2. Copy the shared prompt and load it into your OpenClaw setup.
3. Configure modules like personal CRM, knowledge base, and to-do tracking.
4. Connect automations and analytics to centralize your workflow.

Here’s the list of prompts to implement the use cases in the tutorial.

Did this issue help you discover something useful?

Login or Subscribe to participate in polls.

💬 Quick poll: What’s the AI workflow you’ve built that saves you the most time?

Until next time,
Kushank @DigitalSamaritan

Reply

or to participate.