Hey everyone,

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Rebuilt from the ground up with multi-agent teams, scheduled tasks, native voice and one-click integration with other Google products.

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I Stopped Using Claude Like a Chatbot — Now It Runs My Entire Workflow

Most people use Claude like a smarter Google search.

Ask a question.
Get an answer.
Start over tomorrow.

I was doing the same thing… until I turned it into a persistent “AI coworker” system.

Now it:

• remembers my writing style
• understands my projects
• keeps consistent outputs
• helps with deep work without re-explaining context every session

The difference was building a simple “Claude Cowork” setup.

Here’s exactly how I structured it:

1. Use the Desktop App

I switched from the browser version to the desktop app.

It feels way better for long sessions, local files, and persistent workflows.

2. Create a Main Folder

I made a folder called:

Claude Cowork

Inside it:

/ABOUT ME
/OUTPUTS
/TEMPLATES

3. Add Persistent Context Files

Inside ABOUT ME, I added files like:

about-me.md
my-company.md
writing-style.md
anti-ai-writing-style.md

These files basically teach Claude:

• how I think
• how I write
• what I’m building
• what tone I like
• what to avoid

This alone massively improved output quality.

4. Let Claude Interview You

This part was surprisingly powerful.

I literally asked Claude:

>

It started asking:

• goals
• workflows
• preferences
• business context
• communication style

Then I saved the answers into markdown files.

Now the AI has long-term context without me repeating myself constantly.

5. Add Global Instructions

I added instructions like:

Always read the ABOUT ME folder before starting any task.
Match my writing style.
Use existing templates when relevant.

This made responses dramatically more consistent.

6. Use Different Models for Different Work

I use:

• Opus + Extended Thinking → strategy / deep work
• Sonnet → quick execution tasks

Way more efficient than using the same model for everything.

7. Connect It With Obsidian

I opened the entire folder inside Obsidian.

Now:

• All AI memory is editable
• Templates are reusable
• outputs stay organized
• knowledge compounds over time

It basically becomes a second brain + AI workspace.

8. Save Good Workflows as Templates

Whenever Claude produces something great, I save the structure into /TEMPLATES.

Examples:

• Reddit post templates
• ad copy structures
• video scripting flows
• research frameworks
• prompt chains

Over time, the system gets smarter because you stop starting from zero.

Biggest Realization

Most people think:

better prompts = better outputs

But honestly:

better context > better prompts

Once the AI deeply understands:

• who you are
• What you do,
• how you think
• what quality looks like

…the outputs become insanely more useful.

It stops feeling like a chatbot and starts feeling like a collaborator.

Curious if anyone else here is building similar “AI operating systems” around Claude or other tools?

Introducing new modalities for ElevenAgents.

Your customers don't just talk or type. They send photos, files, voice notes, and locations, and reach out across channels. Now your agents handle all of it.

On WhatsApp, ElevenAgents now processes images, PDFs, audio messages, contacts, and location pins.

A customer says "my wifi keeps dropping" and sends a photo of their router. The agent reads the indicator lights, runs a line check, and books an engineer visit without human intervention.

On your website or app, customers can upload images and PDFs directly in the widget. Proof of address, medical records, insurance claim documents - the agent processes the file and resolves the issue in the same conversation.

Agents maintain full context across channels and modalities. An agent on a voice call can send a message mid-conversation to confirm an appointment or share a document - then process what comes back, all in the same interaction.

Meet your customers where they are with ElevenAgents.

Both companies made the same move on the same day.

Anthropic launched a $1.5 billion company with Blackstone, Goldman Sachs, and Hellman & Friedman.

OpenAI launched The Deployment Company. $10 billion. 19 investors.

Both companies are sending their own engineers to hospitals, factories, and mid-sized businesses.

To build. To sit with the real workers. Learn the real workflows. Put AI at the center of how those businesses actually run.

This is what Palantir figured out years ago. Don't just sell the tool. Get so deep inside the company that removing you becomes impossible.

And the investors they picked are not random.

Blackstone manages $1.3 trillion. Goldman Sachs oversees $3.7 trillion. Apollo, Sequoia, General Atlantic, and hundreds of companies between them.

Every one of those portfolio companies is now a warm customer waiting.

Anthropic's CFO said demand for Claude has outpaced.

So they stopped stretching the old model and built a new company instead.

Both AI labs are saying the same thing without saying it:

Building the best model is not enough anymore.

You have to get inside how the world works.

Meta has officially connected Meta Ads with Claude through an MCP connector.

The connector is available at: https://mcp.facebook.com/ads

Setup is simple. You add it as a custom connector inside Claude, authorize it through Facebook OAuth, and connect your ad account.

Once connected, Claude can work directly with your Meta Ads account.

That means you can ask Claude to help with things like:

• Building campaign structures
• Creating ad sets
• Writing ad copy
• Planning targeting
• Checking pixel health
• Reviewing campaign performance
• Generating reports
• Managing product catalogs
• Finding campaign issues

Basically, instead of clicking through Ads Manager manually, you can talk to Claude in plain English and let it handle a lot of the workflow.

For example:

>

Or:

>

This is a huge shift for marketers, founders, and small businesses.

A lot of agencies charge $3,000–$5,000/month for campaign setup, reporting, optimization, and basic strategy. Now, a big part of that workflow can be done through AI.

Of course, this does not mean every agency is dead.

Good agencies still bring creative strategy, testing experience, offer building, landing page advice, and real market understanding.

But basic campaign setup, reporting, and day-to-day Meta Ads management just became much easier for non-technical people.

This could be one of the biggest AI updates for performance marketing so far.

What do you think?
Is this the beginning of AI replacing basic ad agencies, or will it just make good marketers more powerful?

A camera tracks your head and body position, then small motors move the screen to match your eye level and distance. Instead of constantly fixing your setup or just living with bad posture, the setup starts adapting to you.

AI is going to make everyday objects feel more alive.
More devices will become interactive. It’ll get easier to give the things around you a bit of “brain,” whether it’s your monitor, desk, chair, lights, or whatever.

Pretty cool.

Hey everyone,

If you want to test Claude Opus 4.7, Claude Sonnet, and other AI models through API, you can try using Amazon Bedrock. New AWS users may be eligible for free AWS credits, which can be used for Bedrock API usage depending on account eligibility and region availability.

What you can access:

Amazon Bedrock gives access to multiple AI models from providers like:

• Anthropic
• Meta
• Mistral AI
• Cohere
• DeepSeek
• Amazon
• Google
• And more

You can use these models for apps, automation, coding tools, AI agents, chatbots, research tools, and API-based projects.

How to activate:

1. Go to AWS: https://aws.amazon.com
2. Click Create a Free Account
3. Sign up using your email
4. Complete phone, card, and identity verification
5. Open the AWS Console
6. Search for Amazon Bedrock
7. Go to Model Catalog
8. Find Claude models by Anthropic
9. Go to API Keys
10. Generate a long-term API key
11. Use the API key in your app, script, API tool, or automation workflow

Why this is useful:

You can test premium Claude models through the API without directly buying a separate Claude API plan. Bedrock also gives access to many other models in one place, so it is useful for developers, automation builders, AI tool creators, and people testing LLM workflows.

Important notes:

Credit availability may depend on your AWS account, region, and eligibility.
Some models may require access approval before use.
Always monitor usage and billing inside AWS to avoid unexpected charges.
Model names and availability can vary by region.

Overall, this is a good option if you want to experiment with Claude models and other AI models through API using AWS Bedrock.

1X just opened its NEO Factory in California, with capacity to produce 10K humanoid robots per year. The company says its next facility in San Carlos could bring that number to 100K NEOs per year by the end of 2027.

These are not just warehouse robots either. NEO is being designed for homes, which makes this feel much closer to everyday life than the usual factory demo.

And 1X is not alone. 
Billions are flowing into this space. Valuations are exploding. Companies in the US, China, Europe, and beyond are all trying to prove they can turn humanoid robots into the next major hardware platform.

So yes, the humanoid robot race is officially moving from “cool demo” to “how many can you actually build?”

And honestly, the value is easy to imagine once these robots become better, cheaper, and more reliable.

The promise is massive.
But the demand is still unproven.

We do not fully know if people will actually want humanoid robots around them every day. A robot moving boxes in a warehouse is one thing. A robot walking through your kitchen, bedroom, or living room is a very different kind of technology.

The companies are already building the supply.
Now the real test is whether humans are ready for the demand.

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