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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 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 34

Фото профиля Davis McMurrain

Davis McMurrain1 год назад

@BennettSpooner Level up your operations with @OperatorOS

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

@OperatorOS Mandatory

Фото профиля Oliver Oliver

Oliver Oliver1 год назад

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

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

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

Фото профиля Mykhailo Sorochuk

Mykhailo Sorochuk1 год назад

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

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

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

Фото профиля Nick Spisak

Nick Spisak1 год назад

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

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

N8n and relevance

Фото профиля sweabsol

sweabsol1 год назад

@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!

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

@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

Фото профиля sweabsol

sweabsol1 год назад

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

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

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

Фото профиля sweabsol

sweabsol1 год назад

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

Фото профиля Naim Ai

Naim Ai1 год назад

@BennettSpooner Cool, what tools you used?

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

Figjam, n8n and relevance

Фото профиля Naim Ai

Naim Ai1 год назад

@BennettSpooner Thanks! I will check relevance!

Фото профиля Roshan

Roshan1 год назад

@BennettSpooner This is really impressive stuff

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

Thank you man!

Фото профиля N.E.X.U.S.

N.E.X.U.S.1 год назад

@BennettSpooner Powered by... me?

Фото профиля OperatorOS

OperatorOS1 год назад

@BennettSpooner Follow us for more updates!

Фото профиля Aurobindo

Aurobindo1 год назад

@BennettSpooner Portfolio: GitHub: Resume:

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

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

Фото профиля Aurobindo

Aurobindo1 год назад

@BennettSpooner

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

leave one to join

Фото профиля Aurobindo

Aurobindo1 год назад

@BennettSpooner ok

Фото профиля Ranger

Ranger1 год назад

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

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

So complex

Фото профиля Melina

Melina1 год назад

@BennettSpooner Keep pushing 🔥

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

We are absolutely grinding

Фото профиля Melina

Melina1 год назад

@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✊

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

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

Фото профиля Ian Timotheos Pilon

Ian Timotheos Pilon1 год назад

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

Фото профиля Bennett Spooner

Bennett Spooner1 год назад

would love to!

Фото профиля Ian Timotheos Pilon

Ian Timotheos Pilon1 год назад

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

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We cancelled our entire SaaS stack and started running our business with AI agents. Now, we’re building Toyo to help other founders do the same. We're pleased to announce $4.3M in funding from Frontline Ventures, Inovia Capital, Philipp Moehring - tiny.vc, and angels from Amazon, Microsoft, and Cloudflare. For decades software was built for humans to operate. That world is over. We're building for one where agents do the work, while humans direct.

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426,323 просмотров • 7 месяцев назад

LOVE was made entirely inside invideo. Not with one agent. I built a multi-agent system — a director, and around it casting, locations, storyboard, then one agent per main scene, all working at the same time. In the breakdown I go through the things that struck me most: — Expert agents talking to each other — Infinite memory — Slate editor — And a Project Analyst at the end, interviewing every other agent on what to change next time There's a lot more to say. I'll take it one thing at a time in the next posts. Invideo Agent Two isn't just an agent. It's a collaborator you shape into what you need. Full breakdown ↓

LOVE was made entirely inside invideo. Not with one agent. I built a multi-agent system — a director, and around it casting, locations, storyboard, then one agent per main scene, all working at the same time. In the breakdown I go through the things that struck me most: — Expert agents talking to each other — Infinite memory — Slate editor — And a Project Analyst at the end, interviewing every other agent on what to change next time There's a lot more to say. I'll take it one thing at a time in the next posts. Invideo Agent Two isn't just an agent. It's a collaborator you shape into what you need. Full breakdown ↓

Marco "Shikoba" Riccetti

14,813 просмотров • 1 месяц назад

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.

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 просмотров • 4 месяцев назад

AGI won’t be one giant model. It will be many specialized intelligences working together through a reasoning-capable AI that coordinates the layer that routes each query to the right models, tools, and agents. PS: Good reasoning is how you avoid getting your agent deleting your entire email inbox btw.

AGI won’t be one giant model. It will be many specialized intelligences working together through a reasoning-capable AI that coordinates the layer that routes each query to the right models, tools, and agents. PS: Good reasoning is how you avoid getting your agent deleting your entire email inbox btw.

Sentient

19,245 просмотров • 7 месяцев назад

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 просмотров • 1 год назад

🚨 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 просмотров • 1 месяц назад

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 просмотров • 1 год назад