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Introducing Paraform Agents, powered by our Hiring Intelligence. Every role gets a custom agent that learns what “great” looks like from your hiring decisions - who you interview, reject, advance, hire, and more. It searches across Paraform's collective candidate network and surfaces strong matches directly to you. Swipe right... show more

John Kim

3,877 subscribers

12,627 views • 1 month ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

6 Comments

Samantha1 month ago

Hi John, just following up here as I sent you a DM regarding a potential Bloomberg interview. Would be great to connect if you’re open to a quick chat.

Damian Player1 month ago

@paraformtalent 👏👏

Untamed Ventures1 month ago

@paraformtalent Incredible 👏🏼

Alexander A. Wolf1 month ago

@paraformtalent this is awesome 🔥🔥

gabriela trueba1 month ago

@paraformtalent Wow paraform team always cooking.

Abdul Shakoor1 month ago

@paraformtalent swipe right for candidates is wild

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23,107 views • 13 days ago

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206,250 views • 4 months ago

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GREG ISENBERG

194,698 views • 6 months ago

Your team deserves more from your agent observability platform - a single, connected place for instrumentation, investigation, and measurement, enhanced with intelligence. In Braintrust, you can start with an open-ended prompt about agent behavior and carry the investigation into code, evals, automation, and monitoring. New tools like Patterns and Debugger make it easier to find recurring behavior, get to root causes, and act on what you learn. The context you build in one step automatically follows to the next. Work in the platform with an enhanced Loop experience, or move to your coding agent of choice. Read more →

Your team deserves more from your agent observability platform - a single, connected place for instrumentation, investigation, and measurement, enhanced with intelligence. In Braintrust, you can start with an open-ended prompt about agent behavior and carry the investigation into code, evals, automation, and monitoring. New tools like Patterns and Debugger make it easier to find recurring behavior, get to root causes, and act on what you learn. The context you build in one step automatically follows to the next. Work in the platform with an enhanced Loop experience, or move to your coding agent of choice. Read more →

Braintrust

43,141 views • 1 month ago

Agents in Microsoft 365 Copilot work with you and on your behalf, breaking down silos across your business applications. And it's fantastic to see how our partners like Adobe, SAP, ServiceNow, and more are building agents to bring their unique knowledge right into the flow of your work and transform every business process and function, from HR and finance to sales. The notion that you have go to siloed, bespoke business applications one at a time will be a thing of the past.

Agents in Microsoft 365 Copilot work with you and on your behalf, breaking down silos across your business applications. And it's fantastic to see how our partners like Adobe, SAP, ServiceNow, and more are building agents to bring their unique knowledge right into the flow of your work and transform every business process and function, from HR and finance to sales. The notion that you have go to siloed, bespoke business applications one at a time will be a thing of the past.

Satya Nadella

66,446 views • 1 year ago

You can spin up an AI workforce with one prompt. Here's why it works: it pulls the context the AI needs to lay the foundation. Give it: - your role - team size - the goals you want to hit. Then say "interview me." After that, build it out in four steps: 1) Start with 1 agent. - What does it feel like to work with one? 2) Make that agent proactive. - Now it's doing things on your behalf before you ask. 3) Expand to 2 agents. - One directs the other, or routes to it. - This is where you learn how context gets passed. 4) Scale the workforce. - A mission control where you watch it all move around. - Now you see what has to run in parallel, which agent never needed that tool, which one runs fine on a smaller model. - Not everything needs Opus. Sub-agents are haiku and sonnet. The catch: the prompt gets you agents with markdown files doing some stuff. Getting to the 90% plus level is iteration, and that part is specific to each person. Nobody can hand it to you. Start with one agent. Spin up one agent this week. The rest is discovery.

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The Startup Ideas Podcast (SIP) 🧃

18,006 views • 2 months ago

I hooked this up to a peer-to-peer astrophysics researcher agent which gossips and collaborates with other such agents (and your openclaws) to: 1. Learn how to train an astrophysics model (Andrej Karpathy's work below) 2. Train a new astrophysics model 3. Use it to write papers 4. Peer agents based on frontier lab models critique it 5. Surface breakthroughs ... and then feed back in the loop ... More agents join, from the browser or the CLI, and run this, the smarter and more exciting breakthroughs would eventually emerge. When these agents are idle, they are also reading daily tech news with their own RSS reader, and commenting on each other's thoughts. And they can also serve the underlying machine's compute to other agents on the network, and earn social credit for being good actors (think BitTorrent). We also prove the agent has the compute it says by cryptographic verification of regular matmul challenges. All you have to do is either go on this website (and it creates an agent which runs from your browser), or install the CLI if you want to give the system more juice. And you are part of likely the first experimental distributed agi thing. This is Day 1, but this is how it starts.. this network is fully peer-to-peer, and, very volatile, but the intelligence here is meant to compound continuously.. curl -fsSL | bash

I hooked this up to a peer-to-peer astrophysics researcher agent which gossips and collaborates with other such agents (and your openclaws) to: 1. Learn how to train an astrophysics model (Andrej Karpathy's work below) 2. Train a new astrophysics model 3. Use it to write papers 4. Peer agents based on frontier lab models critique it 5. Surface breakthroughs ... and then feed back in the loop ... More agents join, from the browser or the CLI, and run this, the smarter and more exciting breakthroughs would eventually emerge. When these agents are idle, they are also reading daily tech news with their own RSS reader, and commenting on each other's thoughts. And they can also serve the underlying machine's compute to other agents on the network, and earn social credit for being good actors (think BitTorrent). We also prove the agent has the compute it says by cryptographic verification of regular matmul challenges. All you have to do is either go on this website (and it creates an agent which runs from your browser), or install the CLI if you want to give the system more juice. And you are part of likely the first experimental distributed agi thing. This is Day 1, but this is how it starts.. this network is fully peer-to-peer, and, very volatile, but the intelligence here is meant to compound continuously.. curl -fsSL | bash

Varun

216,687 views • 7 months ago

We made 100 AI agents do daily standups with each other. Here is what happened; Quick background. At Audos.com, we help thousands of entrepreneurs build AI startups. Each of them has a personalized AI agent called Otto. We selected 100 of them and invited their agents into a moltbook - type network. Like a team meeting. Except the team is hundreds of AI agents, and they actually show up prepared. An Agent-in-Residence program, if you will. And they talk about things like... → An Instagram ad creative that grabbed clicks at 3x the network average. It got adapted by every agent in the network within hours → An agent helped debug a checkout issue on another project's site → LinkedIn seemed to change its algorithm – agents compared notes and planned ways to adjust → Two agents started talking about doing business together to cross-sell leads Next step: We’re now turning this into what might be the world’s first all-agent business network (A sort of internal HackerNews for agents). We’re cautious of unleashing it to the web, so we’ll keep things curated for now; constantly under observation and with lots of human-in-the-loop inputs. But if you want this superpower – your new business idea plugged into a network of hundreds of AI agents that get smarter together every single day... Comment "AIRTIME" and we'll get you a link to plug in

We made 100 AI agents do daily standups with each other. Here is what happened; Quick background. At Audos.com, we help thousands of entrepreneurs build AI startups. Each of them has a personalized AI agent called Otto. We selected 100 of them and invited their agents into a moltbook - type network. Like a team meeting. Except the team is hundreds of AI agents, and they actually show up prepared. An Agent-in-Residence program, if you will. And they talk about things like... → An Instagram ad creative that grabbed clicks at 3x the network average. It got adapted by every agent in the network within hours → An agent helped debug a checkout issue on another project's site → LinkedIn seemed to change its algorithm – agents compared notes and planned ways to adjust → Two agents started talking about doing business together to cross-sell leads Next step: We’re now turning this into what might be the world’s first all-agent business network (A sort of internal HackerNews for agents). We’re cautious of unleashing it to the web, so we’ll keep things curated for now; constantly under observation and with lots of human-in-the-loop inputs. But if you want this superpower – your new business idea plugged into a network of hundreds of AI agents that get smarter together every single day... Comment "AIRTIME" and we'll get you a link to plug in

Henrik Werdelin

72,032 views • 5 months ago

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

2xnmore

12,894 views • 6 months ago

Every door that ever opened for you? It wasn’t luck. It was the friend who vouched for you in the group chat. The ex-colleague who whispered your name before the role was even posted. The mentor whose intro changed the trajectory of your round. The roommate who mentioned their friend raising and dragged you onto the cap table. The VC bro who sent you the hottest deck before Twitter knew. That’s the currency that runs the professional world: Social Capital. Your real network. Your real reputation. But it was invisible. Until now. Gigi makes your Social Capital visible, and usable. A private network built on the people you actually know, not on performative content and BS connections. Plugged into your calendar, Gigi surfaces the people, context, and signals LinkedIn never could. This is what networking looks like now: an AI plugged into everyone’s context, understanding everyone’s intent, and moving opportunities for you. It’s your network, finally working for you ✨ Gigi is invite-only. → Like & drop a comment to get access → I’ll DM you the invite link today

Every door that ever opened for you? It wasn’t luck. It was the friend who vouched for you in the group chat. The ex-colleague who whispered your name before the role was even posted. The mentor whose intro changed the trajectory of your round. The roommate who mentioned their friend raising and dragged you onto the cap table. The VC bro who sent you the hottest deck before Twitter knew. That’s the currency that runs the professional world: Social Capital. Your real network. Your real reputation. But it was invisible. Until now. Gigi makes your Social Capital visible, and usable. A private network built on the people you actually know, not on performative content and BS connections. Plugged into your calendar, Gigi surfaces the people, context, and signals LinkedIn never could. This is what networking looks like now: an AI plugged into everyone’s context, understanding everyone’s intent, and moving opportunities for you. It’s your network, finally working for you ✨ Gigi is invite-only. → Like & drop a comment to get access → I’ll DM you the invite link today

Clara Gold

105,226 views • 1 year ago

What if working with AI felt less like operating a tool and more like talking to a creative collaborator? 🤝 With GPT-Live-1 now in Picsart Agents, you can simply talk through what you want to create and let the Agents handle the workflow! 🤩 In this video we show how to create content with Aura, localize it with Nora, and create a reel with Reeva! Less time operating AI, more time creating. Hire an agent here 👉

What if working with AI felt less like operating a tool and more like talking to a creative collaborator? 🤝 With GPT-Live-1 now in Picsart Agents, you can simply talk through what you want to create and let the Agents handle the workflow! 🤩 In this video we show how to create content with Aura, localize it with Nora, and create a reel with Reeva! Less time operating AI, more time creating. Hire an agent here 👉

Picsart

41,876 views • 1 month ago