Rude Kaiser

[Rahul @sairahul1]

🚨 Google CEO, Sundar Pichai: "If you don't learn to how to orchestrate agents now, you'll spend 2027 catching up to people who started today"

In 30 minutes he explains why the best engineers stopped writing code and started building agents.

Most people think building an agent requires an engineering degree.

It doesn't. It requires one guide and one afternoon.

Watch the interview, then save the exact setup below 👇

[Corey Ganim @coreyganim]

7 AI SERVICES BOOMER BUSINESSES ARE BEGGING TO BUY IN 2026

1) AI Tools Assessment: $999. One 45-minute interview, then a report with 3 to 7 off-the-shelf tools they can implement immediately. 50 to 60% convert into implementation.

(grab the exact template I use to deliver the assessment at https://t.co/lprebgty0u)

2) AI Concierge: $1,000 to $2,000 a month for two 45-minute calls turning their manual processes into Claude skills. At $1,500 a month you're making $1,000 an hour.

3) Process Redesign: $3,500 to fix a broken workflow before you touch AI. One client went from 25 steps to 10. Never automate a broken process.

4) Automation Builds: $1,000 to $3,000 in Zapier or Make. One $1,500 build took a project manager out of client onboarding entirely.

5) Knowledge Systems: $3,000 baseline. A business broker went from 500 buyer emails per listing to 10 with one custom GPT.

6) Custom Workflows: $3,000 to $5,000. One client's 45-minute podcast workflow now runs off one orchestrator skill in 5 minutes.

7) Full Implementation: $5,000 to $10,000+ mixing everything above. Skills + automation builds + knowledge systems. Mix and match based on client needs.

Two things that make this work:

1) The assessment is always the baseline. Start there and let it tell you what to sell next.

2) Anchor on hours saved, not hours worked. Nobody pays $1,000 an hour for your time. They pay it to get theirs back.

Full breakdown below.

https://t.co/mTyzbShny8

(also available on the Build With AI podcast wherever you get your pods)

[Anish Jaitwar @AnishJaitwar]

Sam Altman (CEO of OpenAI):

"You no longer need to write prompts."

In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine.

It's a talk he gave to Stanford students. A friend sent me the recording last night.

After watching it, I realized I was only taking advantage of about 15% of what this tool can really do.

Watch it in full and then read the guide I leave below on how to create a system that prompts itself.

Follow @AnishJaitwar for more

[Swati Gupta @hrswatigupta]

Anthropic engineer:

"You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."

In 45 minutes, she breaks down how Anthropic builds agents that remember, learn from their mistakes, and get smarter with every run.

Worth more than any paid course you'll find on building agents.

Watch this and bookmark

[Rahul @sairahul1]

Sam Altman: "if i were 22 right now, i'd feel like the luckiest kid in history."

the reason? a one-person billion dollar company is finally possible.

i just published the stack those founders are running.

coding, marketing, sales, S/AEO, support

five jobs. one person. zero hires.

[Ishika Rawat @Ishh_021]

🚨Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[AI_Explorer @ai_explorer25]

GOOGLE CEO SUNDAR PICHAI: "IF YOU DON'T LEARN HOW TO ORCHESTRATE AGENTS NOW, YOU'LL SPEND 2027 CATCHING UP TO PEOPLE WHO STARTED TODAY."

30 minutes on why the best engineers stopped writing code line by line and started orchestrating agents instead.

Most people think building an agent requires an engineering degree.

It doesn't.

It requires one guide and one afternoon.

Watch the interview. Then read the article below.

One guide. One afternoon. That's all it takes.

[Corey Ganim @coreyganim]

This guy sells AI employees to small businesses.

He's a non-technical designer with no audience, spends $0 on ads, has no tech background.

Yet he's still done 21 agent setups in 6 months, almost all from referrals.

His model: install one AI agent as a digital employee, then get paid monthly to manage it and coach the owner. Setup fee plus a per-agent monthly rate.

@fhlcreative came on the Build With AI pod to walk us through the whole playbook. Here's what I learned:

1. The product is the coaching, not the agent. Owners treat AI like Google. You get paid to manage it so they never have to.

2. Raise your price every yes. $500 setups became $1,000. Now he's targeting $2,000 setups plus $1,000/month per agent.

3. Give the agent a value ledger. It logs every task and sends a weekly ROI report. One client's first week: 63 hours saved, $6,300 in value.

4. Put yourself in the group chat. Telegram group with Phil, the client, and the agent. The client learns by watching him talk to it.

5. The agents handle real multi-step work. One prompt: find the invoice email, extract the PDF into Excel, save to Dropbox, send the link. Done in 10 minutes.

6. Uptime is a selling point. The best prospects tried agents themselves and quit when they broke. Phil fixes it before the client notices.

7. Free work is the referral engine. Friends in his small Georgia town told friends in Atlanta and Dallas. Now he has clients nationwide.

8. The pitch is one text. "I'm testing a managed agent service. Want to be a guinea pig? I'll charge you less." First client: $250/month.

9. Make the agent write to Excel, not its own markdown. A shared source of truth is the difference between a demo and a system.

10. Phil builds his agents on @orgo. $29/month gets your agent a computer with pre-built templates. Phil's agent handles the Orgo admin itself.

His 2 key takeaways:

1. You only need to be one step ahead. If you've built an agent for yourself, you know more than the owner who never has. Charge from day one.

2. Visible ROI is the retention strategy. A weekly "you saved $6,300" report re-sells the retainer every single week.

Phil is doing this at a level most technical people are not, and we had a blast going deep on it. Go follow @fhlcreative

Full video below.

https://t.co/mlTEqIQYAN

(Also available on the Build With AI podcast wherever you get your pods)

[Rahul @sairahul1]

Anthropic's CEO: "coding is going away first. then all of software engineering."

the 5% that survives? engineers who deploy AI into the real world.

most people have never heard of this role. the ones who have are getting hired first.

This is the complete course ↓

Bookmark this. This is your opportunity.

[Rahul @sairahul1]

Mark Cuban on the next job wave.

Customized AI integration for small to mid-sized companies.

"Software is dead because everything's gonna be customized to your unique utilization. Who's gonna do it for them... And there are 33 mn companies in the US."

That person is called a Forward Deployed Engineer.

And it's the hottest job in tech right now and most people have never heard of it.

Here's the no-BS guide to what it is, what it pays, and how to become one ↓

Bookmark this.

[Jason Cohen 🇺🇸 @JasonJournoDC]

🚨NEW: Stephen A. Smith shares advice he got from TRUMP that he has "NEVER FORGOTTEN"🚨

"He said, not just 'Know your worth,' but 'Go for it. Go for it all. Always pursue the MOST!'"

"He said, 'The moral of the story is: The more you convince someone to invest in you, the more they must work diligently to ensure your success. Don't come cheap.'"

@DailyCaller

[Marcellus Wiley @marcelluswiley]

Best Relationship Breakdown Ever

[Drake @SecondLifeDrake]

Drake ~ K9 AT HEART Remix (ft. PND & Giveon)

[Trader Theory @tradertheory]

How a $12 billion asset manager sees technical analysis.

[TMZ @TMZ]

Kim Kardashian Reacts to Doctor Saying She Has Low Brain Activity 👀

🎥 Hulu

[YourCloudDude | AWS & Python @yourclouddude]

Don’t overthink it.
• Build a Calculator to master logic & loops
• Build a Weather App using live APIs
• Build a CRUD Web App with Flask + DB
• Build a Chatbot UI with Streamlit + GPT
• Build a File Organizer with os & shutil
• Build a Resume Parser using NLP
• Build a Stock Predictor using ML
• Build a Job Tracker that updates Notion
The best way to learn Python?
Projects. Not tutorials.

[Tate News @TateNews_]

Andrew Tate reveals why hes fighting against Chase Demoor…

Tate’s response is exactly why he’s the Top G 👏💯

[Alex Friedman 🤠 @heyalexfriedman]

How to get ChatGPT to stop agreeing with everything you say:

[Aadit Sheth @aaditsh]

BREAKING: OpenAI launches Agent Builder, the most anticipated product of the year.

This release will completely redefine how you work.

Here are 50 powerful use cases to try now:

1. Automate email sorting and intelligent auto-responses.
2. Personal calendar + life concierge for scheduling, travel, and errands.
3. Continuous note summarizer for meetings, research, and calls.
4. Social-media agent that writes, posts, replies, and tracks engagement.
5. AI financial tracker that reconciles accounts and predicts expenses.
6. End-to-end recruiting pipeline agent (JD → screening → scheduling).
7. Sales enablement agent handling lead scoring, outreach, and follow-ups.
8. Finance-close agent that reconciles ledgers and reports nightly.
9. Legal agent drafting, redlining, and reviewing contracts.
10. Procurement agent comparing suppliers and negotiating deals.
11. Market-research agent analyzing live trends and insights.
12. Competitive-intelligence agent monitoring rivals and filings.
13. Investor-research agent scanning SEC data and market sentiment.
14. Academic & patent-exploration agent for R&D teams.
15. Policy and compliance monitoring agent for enterprises.
16. Unified customer-support agent (email, chat, social).
17. Content-marketing agent generating blogs, visuals, and SEO drafts.
18. Ad-optimization agent managing multi-channel performance.
19. Personalized e-commerce shopping assistant.
20. Real-time product-feedback and sentiment-analysis agent.
21. DevOps deployment agent for automated code shipping.
22. Code-review and testing agent ensuring clean commits.
23. API-builder agent that auto-connects systems (no-code integrations).
24. Data-pipeline maintenance and ETL monitoring agent.
25. Security audit agent scanning infrastructure and codebases.
26. Personalized tutoring agent for adaptive learning.
27. Corporate L&D (learning & development) agent designing training paths.
28. Research summarizer agent for analysts and professors.
29. Language-learning conversational agent.
30. Skill-certification and grading agent.
31. Agent store for publishing and monetizing reusable agents.
32. Data-licensing agents that monetize proprietary datasets.
33. Agent-ops management agent for debugging and evaluation.
34. Virtual “employee” agents performing recurring company roles.
35. Agent-driven marketplaces where agents negotiate logistics or pricing.
36. Agent analytics and observability dashboards.
37. Policy & safety governance agents (AI compliance layer).
38. Agent-to-agent protocol builders for negotiation and permissions.
39. Legal & liability-tracking agents for digital labor.
40. Agent-driven advertising and bidding systems.
41. “Agent universities” teaching orchestration and logic design.
42. Reputation-score agents rating trustworthiness of other agents.
43. Agent-as-a-service marketplaces (like Shopify themes for intelligence).
44. Embedded agents in consumer devices and appliances.
45. Vertical domain-specific agents (healthcare, finance, logistics, media).
46. Cross-platform workflow orchestration agent connecting multiple ecosystems.
47. AI project-manager agent coordinating multi-team execution.
48. Knowledge-management agent indexing internal docs and chats.
49. Event-planning and coordination agent.
50. Personal research and idea-generation companion.