OriginAI

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[OriginAI @Origin_AI_01]

Just tried out this new software called https://t.co/94T3AxOIKY

My buddy referred me to it, I put in a prompt to make a startup and it built it out for me

Than it marketed it for me overnight by posting TikTok slideshows, x post, and meta ads

Ai is getting crazy, lmk what yall think about https://t.co/94T3AxOIKY”

[OriginAI @Origin_AI_01]

I wanna send $777 to another follower who has never won

Just say hi

[OriginAI @Origin_AI_01]

🚨 BREAKING: The engineer behind Claude Code just dropped a FREE 28-minute masterclass on prompting.

And honestly, it might be more valuable than some $300 courses out there.

Inside the video:
→ How to structure powerful prompts
→ CLAUDE.md files that actually work
→ Memory shortcuts most people overlook
→ Running parallel sessions
→ Prompting techniques that deliver better results

No expensive course. No unnecessary theory. Just practical insights packed into 28 minutes.

Whether you're a beginner, a developer, or already using Claude daily, you'll likely discover something that changes how you work with AI.

Save it. Watch it. Share it with someone who needs it. 🔥

[Esther Thomas @esthxrtho]

We’ve raised a $2.5M pre-seed to fix hardware hiring.

The most reliable way to know if an engineer can do the job is to watch them work.

In hardware, that’s been almost impossible to do at scale.

Colare runs simulation-based assessments that show how candidates actually work, in the tools they’d use on the job, before anyone books an interview.

We assess across:

- Mechanical (CAD, DFM, FEA)
- Electrical (PCB, schematics)
- Systems
- Manufacturing, & more.

Candidates solve problems from first principles.

Hiring teams see that across their whole pool, so engineers only interview people who’ve already cleared the bar.

We're already working with everyone from seed-stage startups to multi-billion-dollar aerospace manufacturers.

If you’re hiring hardware engineers, let’s talk:
https://t.co/QGXxlg0QVh

[OriginAI @Origin_AI_01]

🚨 Most people building AI agents are just creating chatbots with extra steps.

A real AI agent doesn't stop at giving you an answer.

It works toward a goal.

Here's the mental model that changes everything 👇

🎯 GOAL — Define the outcome.
🧠 PLAN — Break it into steps.
⚙️ ACT — Use tools to get work done.
🔍 CHECK — Verify the results.
🔄 IMPROVE — Fix gaps and try again.

Think about it:

Don't just ask AI to find potential customers.

Build a workflow that researches prospects, qualifies them, organizes the data, checks accuracy, and prepares outreach drafts.

That's the shift from AI that talks to AI that works.

Start with ONE repetitive task. Give it tools, clear boundaries, and a way to verify its work.

Then measure the results before scaling.

Save this framework. ♻️ Repost it.

Follow @Origin_AI_01 for practical AI insights.

#AgenticAI #AIAgents #ArtificialIntelligence #AIautomation #AITools

[OriginAI @Origin_AI_01]

𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗔𝗜 𝗘𝗫𝗣𝗟𝗔𝗜𝗡𝗘𝗗 𝗜𝗡 𝗢𝗡𝗘 𝗦𝗜𝗠𝗣𝗟𝗘 𝗙𝗥𝗔𝗠𝗘𝗪𝗢𝗥𝗞

If you're confused about the difference between AI & ML, Gen AI, AI Agents, and Agentic AI, think of them as layers.

Each layer adds more capability.

𝗟𝗔𝗬𝗘𝗥 𝟭 — 𝗔𝗜 & 𝗠𝗟

This is the foundation.

It includes:

→ Machine learning
→ Natural language processing
→ Reasoning & problem solving
→ Neural networks
→ Learning from data

This is where modern AI systems begin.

𝗟𝗔𝗬𝗘𝗥 𝟮 — 𝗚𝗘𝗡 𝗔𝗜

Generative AI builds on these foundations to create new content.

→ Text
→ Images
→ Audio
→ Video
→ Code

LLMs and Transformers are major building blocks here.

𝗟𝗔𝗬𝗘𝗥 𝟯 — 𝗔𝗜 𝗔𝗚𝗘𝗡𝗧𝗦

Now AI moves beyond simply generating content.

Agents can:

→ Understand goals
→ Break tasks into steps
→ Use tools
→ Manage context
→ Schedule tasks
→ Execute actions
→ Validate results

This is where AI starts becoming action-oriented.

𝗟𝗔𝗬𝗘𝗥 𝟰 — 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗔𝗜

Agentic AI describes the broader system around autonomous agents.

It can involve:

→ Multi-agent collaboration
→ Memory systems
→ Feedback loops
→ Dynamic tool use
→ Agent coordination
→ Failure recovery
→ Observability
→ Governance & guardrails
→ Human-in-the-loop oversight

The goal isn't just to make AI smarter.

It's to make AI systems capable of working toward goals reliably.

𝗧𝗛𝗘 𝗦𝗜𝗠𝗣𝗟𝗘 𝗪𝗔𝗬 𝗧𝗢 𝗥𝗘𝗠𝗘𝗠𝗕𝗘𝗥:

𝗔𝗜 & 𝗠𝗟
→ Learn from data

𝗚𝗲𝗻 𝗔𝗜
→ Generate content

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀
→ Execute tasks

𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜
→ Coordinate systems that can reason, plan, act, observe, and adapt

𝗧𝗛𝗘 𝗕𝗜𝗚 𝗦𝗛𝗜𝗙𝗧:

From:

“𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗮𝗸𝗲 𝗔𝗜 𝗴𝗶𝘃𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝗻𝘀𝘄𝗲𝗿𝘀?”

To:

“𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗮𝗸𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗿𝗲𝗮𝗹 𝘄𝗼𝗿𝗹𝗱 𝘁𝗮𝘀𝗸𝘀?”

That shift is what makes agentic AI so interesting.

𝗦𝗮𝘃𝗲 𝘁𝗵𝗶𝘀 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗹𝗮𝘁𝗲𝗿.

Follow @AamirAnsar94694 for more AI, tools, automation and tech insights.

#AI #AgenticAI #AIAgents #GenerativeAI #ArtificialIntelligence #MachineLearning #AITools #Automation

[OriginAI @Origin_AI_01]

🚨 You're wasting Claude's potential by treating it like a single AI assistant.

What if you had an entire AI team working together instead? 🤯

Here's how to build your first team of AI agents in Claude 👇

🧠 1. Team Leader
Breaks down goals, delegates tasks and combines results.
🔎 2. Research Agent
Finds information, analyzes data and checks sources.

✍️ 3. Content Agent
Creates X posts, LinkedIn content, hooks and drafts.
📈 4. Marketing Agent
Plans campaigns, positioning and audience targeting.

🛡️ 5. Quality Agent
Reviews accuracy, clarity and content quality.
⚡ How the workflow works:

Goal → Delegate → Research → Create → Review → Final Output

Start with just 3 agents:
• Research
• Content
• Quality

Use Claude Code + Agent SDK for programmable agent workflows or start simpler with Claude Projects + Skills.

Don't build a complicated system on Day 1. Make one workflow work reliably, then expand your team.

Save this guide. ♻️ Repost it.

Follow @Origin_AI_01 for practical AI workflows.

#ClaudeAI #AIAgents #ArtificialIntelligence #Automation #AITools #FutureOfWork

[Rohan Paul @rohanpaul_ai]

Warp founder and CEO Ayush Sharma (@ayushswrites) on what it means to build an AI native product.

Build the product, platform and architecture so every task, starting with deep tax compliance workflows, can be performed by an agent.

(Warp runs payroll, taxes and HR for fast-growing companies using AI agents.)

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Full video on "YC Root Access" YouTube channel, (link in comment)

[OriginAI @Origin_AI_01]

https://t.co/gq0PVyPIYQ

[OriginAI @Origin_AI_01]

The CapCut plugin is coming soon to ChatGPT desktop! 📷

After CapCut World brought OpenAI and leading creators together to explore AI video creation, it’s time to give product advertising a more imaginative twist.

Think of a Venom-style transformation giving your next product launch or showcase a memorable visual moment.

With ChatGPT desktop × CapCut Web, describe how each moment should unfold. ChatGPT desktop translates your ideas into instructions and calls CapCut Web to help shape an editable video draft.

Want to experiment? Early access is available only on ChatGPT desktop. Installation is simple: copy the setup prompt from CapCut Web, paste it into the ChatGPT desktop app, and complete authorization.

Support for ChatGPT mobile and web is expected to roll out in mid-November.

#CapCutDidThat #CapCutWeb #ChatGPT #CapCutWorld

[Brady Long @thisguyknowsai]

Somewhere, a finance team is building a spreadsheet to explain what changed in last month’s spreadsheet.

Add screenshots of bank statements and enough people to hold it all together.

We call this “closing the books.” Then do it all again next month.

Just listened to Parker Gilbert from @numeric_io break down how to finally get out of this loop.

[OriginAI @Origin_AI_01]

Good one from @ElevenCreative. Explains the problem before getting to the fix.

[ElevenCreative @ElevenCreative]

Getting a character’s voice and delivery right, then syncing it to AI video, used to mean endless regenerations and workarounds.

With Chimera, it’s one flow.

Here’s how it works:

[OriginAI @Origin_AI_01]

@ElevenCreative Bringing voice, delivery, and video generation into one workflow could save creators hours of iteration.

[ElevenCreative @ElevenCreative]

Getting a character’s voice and delivery right, then syncing it to AI video, used to mean endless regenerations and workarounds.

With Chimera, it’s one flow.

Here’s how it works:

[OriginAI @Origin_AI_01]

This video looks fake to me. I honestly can’t imagine anyone having the courage to jump from such an insane height.

Am I right, or am I missing something, bro? @grok

[Rohan Paul @rohanpaul_ai]

Ali Hussain, CEO of Tabs (AI agents for finance and accounting), on going slow before scaling fast.

Hussain’s rule for growth is that you sometimes have to “go slow before you can go fast.” Putting a few pieces in place early is painful, but it makes everything after it much faster.

@AliHussain15207
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(Full video on "EO" YouTube channel, link in comment)

[Ryan Hart @thisdudelikesAI]

Once AI is ready for finance, the world is gonna be a different place.

Strict compliance is the main reason AI hasn't fully exploded in accounting yet.

But @john__glasgow and the team at @Meet_campfire are changing that with a deterministic model built specifically for finance.

[Brady Long @thisguyknowsai]

Elite ML researchers aren't building chatbots anymore.

They're building stuff like agentic accounting.

I just listened to Matt Harpe from @trybasis explain that and it clicked almost immediately.

[OriginAI @Origin_AI_01]

This Black Friday deal is worth a look: save up to 60% on CapCut Desktop through Oct 30. Desktop Only!

When you're creating a Halloween marketing video for a brand, inconsistent lighting across AI-generated shots can make the final edit feel disconnected. Intelligent Grading helps you batch-adjust color across clips, making it easier to build a more cohesive visual mood.

It's a useful reminder that generating footage is only one part of making a campaign. The finishing touches on CapCut PC are what help the whole video feel like one piece.

#capcutpc #capcutmarketing #capcutsale #capcutblackfriday

https://t.co/HZ8FCRLIlb

[OriginAI @Origin_AI_01]

🚨 AI is evolving beyond answering your prompts. If you're still using it only as a chatbot, you're missing the bigger opportunity.

AI is moving from generating answers to taking action. 🤖

Here's what changes 👇

❌ Traditional AI
→ You give a prompt
→ AI gives an answer
→ You do the remaining work

✅ Action-taking AI
→ Understands your goal
→ Plans the steps
→ Uses tools and integrations
→ Executes tasks
→ Checks results
→ Asks for approval when needed

🔥 Real-world examples:

📩 Sales: Research prospects and draft outreach emails.

✍️ Content: Research topics and prepare posts.

📊 Business: Analyze data and generate reports.

⚙️ Automation: Handle repetitive workflows.

🗓️ Personal assistant: Organize tasks and schedules.

The real shift?

Stop asking only, “What can AI tell me?”

Start asking, “What work can AI help me complete?”

The future belongs to people who know how to build useful AI workflows, not just write better prompts.

Save this. ♻️ Repost it.

Follow @Origin_AI_01 for practical AI insights.

#AI #AIAgents #ArtificialIntelligence #Automation #FutureOfWork

[Rohan Paul @rohanpaul_ai]

Tarek Alaruri (@realtarek), CEO and co-founder of Stuut, on raising $52.5M to automate how companies get paid with AI

Stuut builds an AI-powered order to cash platform that automates the receivables work between sending an invoice and having cash in the bank.

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Full video on "SiliconANGLE theCUBE" YouTube channel, (link in comment)