🧠 AI Agents, AI Cinema, and the Future of Work

🔥🔥🔥 Three Curated AI Stories

1. Manus launches agents that live inside your chats

Manus just introduced Manus Agents, which essentially bring a persistent AI assistant directly into your conversations.

These agents come with long-term memory. They remember your tone, style, and preferences so they improve over time. You can also ask them to create videos, slides, websites, and images from a single message.

They connect to tools like Gmail, Calendar, and Notion, which makes them much more useful for real workflows instead of isolated tasks.

Manus Agents are available now on Telegram, with more platforms coming soon.

2. This viral video shows how far AI filmmaking has come

A 3-minute video created entirely with AI is going viral, and it genuinely looks like professional cinema. The lighting, camera motion, and storytelling feel real. It doesn’t have the obvious “AI look” that older generations struggled with.

Video production has always been expensive and complex. But now creators can experiment with cinematic storytelling using AI tools instead of full crews and production setups.

Watch it here:

3. Google DeepMind releases a framework for how AI agents delegate tasks

Google DeepMind published new research focused on how AI agents can assign tasks to each other responsibly.

The paper introduces a structured approach to delegation. It covers how agents transfer responsibility, define roles, and establish trust when working together.

This becomes important as agents move beyond simple assistants and start operating inside larger systems and virtual economies.

You can read the full paper here.

🔥🔥 Two Tools Worth Trying

1. 🦞 OpenClaw Use Cases Library

If you’ve been hearing about OpenClaw and wondering what people are actually building with it, this GitHub repository is a great place to start.

It’s a curated collection of real-world OpenClaw use cases. You can explore how others are using agents for automation, workflows, and experimentation.

This is especially useful if you want ideas before building your own agent.

2. ⚡ Accomplish — an AI agent that codes and browses at the same time

Accomplish is an open-source AI coding agent that combines two powerful capabilities in one interface.

It can browse the web to research information and then write and execute code based on what it finds. This means it can read documentation, implement integrations, and debug them automatically.

It runs locally on your machine and works with Claude Sonnet 4.5 or similar models. The image above shows its interface running as a local AI desktop agent that automates real tasks.

Because it’s open source, you keep full control and avoid subscription costs.

🔥 AI Mega Prompt Pack

Build Wall Street-level financial models using Claude prompts

Financial modeling is one of the most valuable and time-intensive skills in finance. Analysts spend hours building valuation models, investment memos, and forecasts. Now, prompt packs are making this much faster.

Here are all the prompts:

1. DCF Valuation Model

2. Three-Statement Financial Model

3. M&A Accretion/Dilution Analysis

4. LBO (Leveraged Buyout) Model

5. Comparable Company Analysis (Comps)

6. Precedent Transaction Analysis

7. IPO Valuation & Pricing Analysis

8. Credit Analysis & Debt Capacity Model

9. Sum-of-the-Parts (SOTP) Valuation

10. Operating Model & Unit Economics

11. Sensitivity & Scenario Analysis

12. Investment Committee Memo

Here’s how to use them:

1. Open the prompt pack shared in the link below.

2. Choose the model you want to build, such as DCF, LBO, or IPO valuation.

3. Copy the prompt and replace the placeholders with your company data.

4. Run it in Claude to generate a complete financial model.

5. Review and refine the output based on your assumptions.