🧠 The Practical AI Playbook

🔥🔥🔥 Three AI updates

1. Claude Cowork lands on Windows

Claude’s Cowork feature is now available on Windows, bringing full feature parity with macOS. That includes file access, multi-step task execution, plugins, and MCP connectors. You can also set global and folder-level instructions that Claude carries into every session, which makes repeated workflows much smoother.

The big shift here is persistence. Instead of starting from scratch every time, you’re building a working environment, Claude remembers. For people juggling research, docs, and recurring tasks, that memory layer can cut a lot of friction. Cowork on Windows is in research preview and available to all paid Claude plans.

2. ElevenLabs adds expressive voice agents

ElevenLabs introduced Expressive Mode for ElevenAgents, pushing voice agents closer to natural human conversation. The demo shows an agent empathizing with a frustrated customer in an unedited recording, focusing on tone control rather than just accurate words.

What matters is emotional range. Teams can tune agents to de-escalate tense moments, reassure users, and guide conversations toward resolution. For support and customer experience teams, that level of vocal nuance changes how AI fits into real conversations.

Here’s the demo of an agent reassuring a panicked customer:

3. Deep Research in ChatGPT upgrades to GPT-5.2

GPT-5.2 now powers deep research inside ChatGPT and is rolling out with several usability upgrades. You can connect apps and search specific sites, track real-time progress, interrupt with follow-ups, and view fullscreen reports.

This turns research into a live, interactive process instead of a one-shot query. Being able to steer the investigation mid-stream makes it feel more like collaborating with an analyst than waiting for a static report.

🔥🔥 Two Tools To Try

1. 🎛️ Krea Prompt-to-Workflow

Krea introduced prompt-to-workflow, which lets you generate entire node-based workflows from text instructions. Instead of manually wiring visual pipelines for generative assets, you describe what you want, and Krea builds the structure.

It’s best for creators and teams working with complex generative pipelines who want to prototype fast without getting stuck in setup.

2. 🤖 TheSys Agent Builder

TheSys Agent Builder is a platform for creating custom AI agents tailored to specific tasks and workflows. It focuses on helping teams design and deploy agents without deep infrastructure work.

I tested it out and asked the tool to analyze NVIDIA’s revenue growth over the last five years, and here’s a glimpse of the results:

If you’re experimenting with internal copilots or task-specific assistants, it’s a practical sandbox for testing ideas quickly.

🔥🔥 One Trending AI Mega Prompt

Create McKinsey-style consulting slides with one prompt

You can ask Kimi to conduct a comprehensive analysis of the GenAI video model market, focusing on leading players (e.g., Seedance 2.0, Sora, Kling, Veo, Luma).

Here’s the workflow that uses a mega prompt in Kimi to generate dense, professional consulting slides with structured charts and frameworks:

1. Open an advanced reasoning model like Kimi and paste the consulting slide prompt.
2. Specify the market or topic you want analyzed in the first line of the prompt.
3. Let the model generate a high-density slide with charts, tables, and frameworks.
4. Export or refine the output to match your presentation needs.

Here are the results:

Here’s the prompt I used:

Conduct a comprehensive analysis of the GenAI video model market, focusing on leading players (e.g., Seedance 2.0, Kling, Veo, Luma). Compare their core architectures, temporal consistency, and prompt adherence to identify current industry benchmarks. Use the latest information

Requirement:

A professional, high-density consulting presentation slide, designed in the style of a top-tier strategy firm (McKinsey/BCG) blended with high-end editorial aesthetics.

Core Content & Layout:

1. Rich Data Visualization: The slide is populated with complex, precise charts (stacked bar charts, waterfall charts, or line graphs) and detailed data tables with rows and columns.
2. Structured Frameworks: Includes strategic diagrams or 2x2 matrices constructed with thin, clean lines.
3. High Information Density: The layout is sophisticated and multi-column, mimicking an actual business analysis deck, not just an empty cover page.

Visual Style:

1. Aesthetic: Tech-minimalist but information-heavy. Clean, sharp, and authoritative.
2. Typography: Serif fonts (like Times New Roman) for the main headlines to give a premium financial report feel; clean sans-serif fonts for chart labels and data numbers.
3. Color Palette: Clean white background. Text is sharp black. Charts and graphical accents use Deep Royal Blue and distinct shades of grey to represent the data hierarchy.
4. Graphics: Use fine hairline borders for tables and precise vector lines for graphs.