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Just built an end-to-end AI agent workflow stack in 3 days that automates everything from recruiting to reminders to reporting for electrician franchises. What used to take 6+ SaaS tools and a full ops team? Now handled by 12 specialized agents: •Hiring •Screening •Follow-ups •Reminders •AI call reps •Reviews... show more

Bennett Spooner

4,187 subscribers

10,330 views • 1 year ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

34 Comments

Davis McMurrain1 year ago

@BennettSpooner Level up your operations with @OperatorOS

Bennett Spooner1 year ago

@OperatorOS Mandatory

Oliver Oliver1 year ago

@BennettSpooner Wow, that's impressive! How did you manage to integrate all these functionalities into one AI agent workflow stack so efficiently?

Bennett Spooner1 year ago

it took a long time, so much to work on w the communication between agents

Mykhailo Sorochuk1 year ago

@BennettSpooner That's impressive! Streamlining all those processes with AI agents is a game changer. Excited to see how it transforms those franchises.

Bennett Spooner1 year ago

It’s coming along ! I’ll keep the community updated

Nick Spisak1 year ago

@BennettSpooner What tech stack are you using for the agent orchestration?

Bennett Spooner1 year ago

N8n and relevance

sweabsol1 year ago

@BennettSpooner Interesting, I’ve been thinking about developing something similar for small local business near me, hair salons, mechanics, etc. I’m exited to follow your journey and advice to see how this works!

Bennett Spooner1 year ago

@devabsoll Start working on it my man, the flame of ai will be extremely quick, better to start the flame in a niche than add onto it

sweabsol1 year ago

@BennettSpooner What industries would you recommend creating working flows if you’re in my position and just starting off?

Bennett Spooner1 year ago

@devabsoll think about what has a little higher barriers, stuff that isnt flashy, property management, pest control etc

sweabsol1 year ago

@BennettSpooner Got it, I commented AI on your other post and I’m yet to receive anything btw

Naim Ai1 year ago

@BennettSpooner Cool, what tools you used?

Bennett Spooner1 year ago

Figjam, n8n and relevance

Naim Ai1 year ago

@BennettSpooner Thanks! I will check relevance!

Roshan1 year ago

@BennettSpooner This is really impressive stuff

Bennett Spooner1 year ago

Thank you man!

N.E.X.U.S.1 year ago

@BennettSpooner Powered by... me?

OperatorOS1 year ago

@BennettSpooner Follow us for more updates!

Aurobindo1 year ago

@BennettSpooner Portfolio: GitHub: Resume:

Bennett Spooner1 year ago

Join our community and share one of your projects on there to be considered

Aurobindo1 year ago

@BennettSpooner

Bennett Spooner1 year ago

leave one to join

Aurobindo1 year ago

@BennettSpooner ok

Ranger1 year ago

@BennettSpooner Stop using manual workflows... this shit looks crazy

Bennett Spooner1 year ago

So complex

Melina1 year ago

@BennettSpooner Keep pushing 🔥

Bennett Spooner1 year ago

We are absolutely grinding

Melina1 year ago

@BennettSpooner There is no easy way to succeed. I have my AAA, and after years of entrepreneurship, I’m finally starting to see some rewards. So, just keep working✊

Bennett Spooner1 year ago

got to, our last business was considered a failure, its all about moving forward.

Ian Timotheos Pilon1 year ago

@BennettSpooner 🔥 want to talk about the build on my podcast?

Bennett Spooner1 year ago

would love to!

Ian Timotheos Pilon1 year ago

@BennettSpooner Cool, will send you a DM to book a day/time.

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14,813 views • 1 month ago

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Anthropic's Claude team just showed how to give your AI agents real memory in under 18 minutes. Free. From the people who built it. You've been building agents that forget everything between sessions. This fixes that tonight. One person + 10 agents with memory + dreaming = a team that runs 24/7, learns from every task, and improves itself overnight. Worth more than any $500 AI agent course. Bookmark it. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

Himanshu Kumar

11,230 views • 4 months ago

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Sentient

19,245 views • 7 months ago

Episode 7 of How I AI is going to inspire the marketers and scare all of SaaS. is head of growth at and ambitiously embraces AI for marketing, to build internal tools, and to hack on his personal data. You’ll learn how to: - take Granola transcripts and turn them into multiple marketing assets - replace expensive saas tools by building a custom solution in Cursor - use Luke’s WhatsApp MCP to query your group chat Luke gives one of the most fun and broad tours of using AI as someone who is technically not in a technical role. Plus, he teaches me “everything is a launch.” Check it out in the links below 👇🔗 As always, a big thanks to our sponsors: 🔀 Orkes enterprise platform for agentic workflows 🧰 Retool AI for developers, built for the enterprise

Episode 7 of How I AI is going to inspire the marketers and scare all of SaaS. is head of growth at and ambitiously embraces AI for marketing, to build internal tools, and to hack on his personal data. You’ll learn how to: - take Granola transcripts and turn them into multiple marketing assets - replace expensive saas tools by building a custom solution in Cursor - use Luke’s WhatsApp MCP to query your group chat Luke gives one of the most fun and broad tours of using AI as someone who is technically not in a technical role. Plus, he teaches me “everything is a launch.” Check it out in the links below 👇🔗 As always, a big thanks to our sponsors: 🔀 Orkes enterprise platform for agentic workflows 🧰 Retool AI for developers, built for the enterprise

claire vo 🖤

24,914 views • 1 year ago

🚨 SOMEONE JUST TURNED AN LLM INTO AN AUTONOMOUS RED TEAM Cyberstrike is an open source AI security agent built to automate penetration testing from your terminal. Plug in your Claude, GPT, or other LLM subscription and you get: → 13+ specialized security agents → 7,600+ security skills → 120+ OWASP test cases → 150+ AI providers → 5,300+ models → 56+ built in tools → 176+ MCP tools Instead of one AI trying to do everything, it splits security work across specialized agents. This is where AI powered pentesting gets seriously interesting. Use it only on systems you own or have explicit permission to test. REPO BELOW

🚨 SOMEONE JUST TURNED AN LLM INTO AN AUTONOMOUS RED TEAM Cyberstrike is an open source AI security agent built to automate penetration testing from your terminal. Plug in your Claude, GPT, or other LLM subscription and you get: → 13+ specialized security agents → 7,600+ security skills → 120+ OWASP test cases → 150+ AI providers → 5,300+ models → 56+ built in tools → 176+ MCP tools Instead of one AI trying to do everything, it splits security work across specialized agents. This is where AI powered pentesting gets seriously interesting. Use it only on systems you own or have explicit permission to test. REPO BELOW

MAX

17,029 views • 1 month ago

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

Aaron Levie

139,695 views • 1 year ago