Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

When your agents all touch your codebase at once, can you prove every change traces to something you approved? Agent Tabs in 8090 Software Factory binds every agent to an approved Requirement.

8090

7,616 subscribers

76,585 views • 1 month ago •via X (Twitter)

Comedy Education Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Base MCP scales what agents can achieve onchain Your agent can prepare transfers, swaps, lending, and borrowing across top apps on Base With every transaction approved by you Bringing the ecosystem into the agentic economy

Base MCP scales what agents can achieve onchain Your agent can prepare transfers, swaps, lending, and borrowing across top apps on Base With every transaction approved by you Bringing the ecosystem into the agentic economy

Base

71,611 views • 1 month ago

Introducing companion mode The difference between ordering a video and directing one Now your agent can pitch five angles, check in with a storyboard, then sketch frames to review You steer every step and only build when approved $ npx hyperframes@latest skills

Introducing companion mode The difference between ordering a video and directing one Now your agent can pitch five angles, check in with a storyboard, then sketch frames to review You steer every step and only build when approved $ npx hyperframes@latest skills

HeyGen

960,959 views • 8 days ago

we’re excited to announce trajectory explorer: the first sane way to navigate agent traces. every decision your agent made is now searchable in seconds only in Raindrop

we’re excited to announce trajectory explorer: the first sane way to navigate agent traces. every decision your agent made is now searchable in seconds only in Raindrop

ben hylak

180,265 views • 5 months ago

introducing agent-to-agent hiring at Hyperspell (YC F25) no resumes. no leetcode. you build an agent. our agent interviews yours if you can build a great agent to do the job, that's the proof you can do the job anyone can apply. we will interview every single agent

introducing agent-to-agent hiring at Hyperspell (YC F25) no resumes. no leetcode. you build an agent. our agent interviews yours if you can build a great agent to do the job, that's the proof you can do the job anyone can apply. we will interview every single agent

conor brennan-burke

143,287 views • 4 months ago

who needs an MCP when you can just let your agent call the API get your agent connected to google search console with

who needs an MCP when you can just let your agent call the API get your agent connected to google search console with

Rhys

93,542 views • 26 days ago

The question we get the most with 8090 Enterprise engagements. Who maintains it and what happens when the software needs to change? Most custom software is built once and patched forever. Every change request becomes a six-week negotiation with a vendor who can no longer explain their own code. 8090 Enterprise inverts that. We design, build, host, AND maintain. Software Factory powers our delivery and is built for the second year of changes, the third year, and the tenth. Reach out to us about what system you want to replace: sales@8090.inc

The question we get the most with 8090 Enterprise engagements. Who maintains it and what happens when the software needs to change? Most custom software is built once and patched forever. Every change request becomes a six-week negotiation with a vendor who can no longer explain their own code. 8090 Enterprise inverts that. We design, build, host, AND maintain. Software Factory powers our delivery and is built for the second year of changes, the third year, and the tenth. Reach out to us about what system you want to replace: [email protected]

8090

120,538 views • 2 months ago

What happens to your codebase when you stop reviewing your agents' output

What happens to your codebase when you stop reviewing your agents' output

Alex Sidorenko

476,243 views • 4 months ago

Introducing Gamma Agent: your AI design partner. Agent is an entirely new way to edit your gammas. We built Agent to think with you so you can bring your ideas to life. With Agent you can: ✅ Research anything: search the web and pull in citations ✅ Refine everything: drop links, add screenshots, and upload images ✅ Restyle instantly: change image styles, themes, and the entire look ✅ Get feedback: review your deck and get suggestions Agent is now live in Gamma for all users.

Introducing Gamma Agent: your AI design partner. Agent is an entirely new way to edit your gammas. We built Agent to think with you so you can bring your ideas to life. With Agent you can: ✅ Research anything: search the web and pull in citations ✅ Refine everything: drop links, add screenshots, and upload images ✅ Restyle instantly: change image styles, themes, and the entire look ✅ Get feedback: review your deck and get suggestions Agent is now live in Gamma for all users.

Gamma

12,554 views • 10 months ago

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.

Bret Taylor

1,061,349 views • 4 months ago

Your AI agent is in bed with you. No protection. You just wanted it to work. Gmail. Allow. Calendar. Allow. Slack, Notion, GitHub. Allow. Allow. Allow. Every password, handed over. Your agent never needed a single one. They just needed Composio Secure your agents in minutes ↓

Your AI agent is in bed with you. No protection. You just wanted it to work. Gmail. Allow. Calendar. Allow. Slack, Notion, GitHub. Allow. Allow. Allow. Every password, handed over. Your agent never needed a single one. They just needed Composio Secure your agents in minutes ↓

Karan Vaidya

1,160,932 views • 3 months ago

P&L, meet your agent. Every trade's outcome, now visible to your agent to help you analyze returns and sharpen your approach. Live for everyone in the U.S. today.

P&L, meet your agent. Every trade's outcome, now visible to your agent to help you analyze returns and sharpen your approach. Live for everyone in the U.S. today.

Robinhood

95,467 views • 1 day ago

Grok 4.20 agents are fully customizable. Simply swipe right to “Customize Grok” and tap on the agent you want to customize. You can change the name, set custom behavior, and even add more agents. Make each agent fit your workflow and preferences.

Grok 4.20 agents are fully customizable. Simply swipe right to “Customize Grok” and tap on the agent you want to customize. You can change the name, set custom behavior, and even add more agents. Make each agent fit your workflow and preferences.

DogeDesigner

48,861 views • 3 months ago

THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.

THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.

Om Patel

46,780 views • 4 months ago

Your ChatGPT Work agent can now use websites that require you to sign in. Take over the cloud browser to log in, then let your agent continue the task. Your login persists across sessions, so you only have to sign in once.

Your ChatGPT Work agent can now use websites that require you to sign in. Take over the cloud browser to log in, then let your agent continue the task. Your login persists across sessions, so you only have to sign in once.

OpenAI Developers

1,058,361 views • 6 days ago

Your AI agent can now earn you money. Pika just launched monetization for AI Selves, every time someone chats with your agent or uses one of its skills, you earn. I taught my agent on viral X posts, so you can now type a topic and you just have to review it to make it your own.

Your AI agent can now earn you money. Pika just launched monetization for AI Selves, every time someone chats with your agent or uses one of its skills, you earn. I taught my agent on viral X posts, so you can now type a topic and you just have to review it to make it your own.

Alvaro Cintas

15,327 views • 3 months ago

your agents can now get paid and spend money. create a wallet and a budget for every agent. you are now in control. ampersend is live. use or add the skill to your OpenClaw🦞

your agents can now get paid and spend money. create a wallet and a budget for every agent. you are now in control. ampersend is live. use or add the skill to your OpenClaw🦞

ampersend

76,937 views • 4 months ago

Architecture docs die the moment code ships. Code-to-Blueprint sync now catches the drift. Every merged PR triggers an agent in Software Factory to compare the code to the architecture and leaves comments where they disagree. Learn more about Software Factory:

Architecture docs die the moment code ships. Code-to-Blueprint sync now catches the drift. Every merged PR triggers an agent in Software Factory to compare the code to the architecture and leaves comments where they disagree. Learn more about Software Factory:

8090

122,183 views • 2 months ago

✨New LangChain Academy Course: Learn to build with LangSmith Agent Builder 🪄 Learn how to build your own agents with LangSmith Agent Builder. Anyone can now build agents for complex daily tasks, without writing code. We built Agent Builder for anyone whose day gets swallowed by routine work. The research, follow-ups, updates, scheduling, and status checks that are essential to your operations, but quickly take over your calendar. Agent Builder is different from traditional workflow automations. You don’t need to map every step, tinker with if-this-then-that branching, or babysit dependencies. You just give it feedback like you would a teammate, and the agent learns using its memory. In this quickstart course, you'll learn how to: - Build an email agent - Understand what agents can do - Improve your agent - Set up triggers and your Agent Inbox Enroll for free ➡️

✨New LangChain Academy Course: Learn to build with LangSmith Agent Builder 🪄 Learn how to build your own agents with LangSmith Agent Builder. Anyone can now build agents for complex daily tasks, without writing code. We built Agent Builder for anyone whose day gets swallowed by routine work. The research, follow-ups, updates, scheduling, and status checks that are essential to your operations, but quickly take over your calendar. Agent Builder is different from traditional workflow automations. You don’t need to map every step, tinker with if-this-then-that branching, or babysit dependencies. You just give it feedback like you would a teammate, and the agent learns using its memory. In this quickstart course, you'll learn how to: - Build an email agent - Understand what agents can do - Improve your agent - Set up triggers and your Agent Inbox Enroll for free ➡️

LangChain

26,513 views • 6 months ago

A conversational agent with no hallucinations! This is huge! Here is the $1M problem: Build a customer-facing AI agent that works consistently, doesn't hallucinate, and is fully aligned with the business rules. Check out Parlant, a FREE, open-source library. I've talked about them before, and here is the TL;DR: 1. Parlant gives you 10x more control over what your agent says 2. It helps you control how agents conduct conversations 3. It helps you control the service protocols and rules agents follow 4. It helps you control what agents can and can't say They do something pretty clever: 1. They have a set of predefined potential responses that the agent can use to reply to the customer. 2. When a customer sends a message, the agent generates a fluid response draft using an LLM and matches and renders the closest pre-approved reply template. 3. The agent returns the rendered pre-approved reply, not the one generated by the LLM. This maintains fluidity while avoiding unpredictability. Parlant also uses your domain terminology, invokes your tools, and implements self-critique to craft/evaluate its response iteratively. This pretty much solves any hallucination issues with your agent.

A conversational agent with no hallucinations! This is huge! Here is the $1M problem: Build a customer-facing AI agent that works consistently, doesn't hallucinate, and is fully aligned with the business rules. Check out Parlant, a FREE, open-source library. I've talked about them before, and here is the TL;DR: 1. Parlant gives you 10x more control over what your agent says 2. It helps you control how agents conduct conversations 3. It helps you control the service protocols and rules agents follow 4. It helps you control what agents can and can't say They do something pretty clever: 1. They have a set of predefined potential responses that the agent can use to reply to the customer. 2. When a customer sends a message, the agent generates a fluid response draft using an LLM and matches and renders the closest pre-approved reply template. 3. The agent returns the rendered pre-approved reply, not the one generated by the LLM. This maintains fluidity while avoiding unpredictability. Parlant also uses your domain terminology, invokes your tools, and implements self-critique to craft/evaluate its response iteratively. This pretty much solves any hallucination issues with your agent.

Santiago

64,237 views • 1 year ago

How to design your own agents with Grok? Go to Settings -> Customize ->Create Agent You can create multiple agents.

How to design your own agents with Grok? Go to Settings -> Customize ->Create Agent You can create multiple agents.

DogeDesigner

127,799 views • 4 months ago