Loading video...

Video Failed to Load

Go Home

Today we're launching agent feedback! The best way to power agent learning is with real user reactions. Feedback stores thumbs, ratings, and comments next to traces and metrics. Then query them directly or visualize:

calcsam's profile picture

Sam Bhagwat

17,035 subscribers

10,725 views • 2 months ago •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Better feedback = Better code. Artifacts are the agent’s proof of work. Review plans, screen recordings, and code changes. Then, leave feedback to keep the agent on track. Try it today:
0:51

Better feedback = Better code. Artifacts are the agent’s proof of work. Review plans, screen recordings, and code changes. Then, leave feedback to keep the agent on track. Try it today:

Google Antigravity

82,575 views • 10 months ago

Today, we're launching Ramp Agent Cards. There's been no safe way for agents to spend money, until now. Ramp Agent Cards give agents the ability to spend, governed with real spend limits, merchant controls, and full visibility into every transaction.
0:21

Today, we're launching Ramp Agent Cards. There's been no safe way for agents to spend money, until now. Ramp Agent Cards give agents the ability to spend, governed with real spend limits, merchant controls, and full visibility into every transaction.

Ramp Labs

848,375 views • 6 months ago

We told our agent to hack another agent. It found a way in. Then another. Then another. And we can probably hack your agent too. Today, we’re launching Respan Security.
0:45

We told our agent to hack another agent. It found a way in. Then another. Then another. And we can probably hack your agent too. Today, we’re launching Respan Security.

Respan

202,683 views • 2 months ago

Introducing Runner, the knowledge work agent that works across all your apps to get real work done It's simply the best way to stay on top of messages, project management, user feedback, and much more Runner has become a daily driver for me and I think you'll like it too
0:37

Introducing Runner, the knowledge work agent that works across all your apps to get real work done It's simply the best way to stay on top of messages, project management, user feedback, and much more Runner has become a daily driver for me and I think you'll like it too

yitong

94,349 views • 5 months ago

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:
3:08

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,447 views • 11 months ago

Today we're launching Jev is our latest model, state of the art in zero-shot learning and real-time reasoning. For the next 10 hours, Jev is available live at 100% uptime. $5 per query.
0:23

Today we're launching Jev is our latest model, state of the art in zero-shot learning and real-time reasoning. For the next 10 hours, Jev is available live at 100% uptime. $5 per query.

Alex

52,146 views • 13 days ago

Introducing LangSmith Agent Builder 🤖🧱 A true agent building experience (not workflows!!), all through a simple natural language interface. Describe your agent to "build" it, then interact with it via chat, or add an automatic trigger. Connect your agents to any MCP server, or use our builtin tools. These agents also come with builtin memory, so they can optimize themselves over time, both ambiently, and from user feedback! Sign up for the waitlist today:
0:45

Introducing LangSmith Agent Builder 🤖🧱 A true agent building experience (not workflows!!), all through a simple natural language interface. Describe your agent to "build" it, then interact with it via chat, or add an automatic trigger. Connect your agents to any MCP server, or use our builtin tools. These agents also come with builtin memory, so they can optimize themselves over time, both ambiently, and from user feedback! Sign up for the waitlist today:

Brace

30,846 views • 11 months ago

Agents shouldn't see your secrets. Today, most deployments hand the agent a real API key and hope for the best. That's why we're launching Infisical Agent Proxy. You give an agent a fake API key. The agent uses that key and the proxy swaps it for the real one at the network boundary before forwarding it outbound to its destination. An agent can't leak a secret it never sees. Build and deploy AI agents securely with Infisical Agent Proxy.
0:39

Agents shouldn't see your secrets. Today, most deployments hand the agent a real API key and hope for the best. That's why we're launching Infisical Agent Proxy. You give an agent a fake API key. The agent uses that key and the proxy swaps it for the real one at the network boundary before forwarding it outbound to its destination. An agent can't leak a secret it never sees. Build and deploy AI agents securely with Infisical Agent Proxy.

Infisical

28,086 views • 2 months ago

Demo 2: human + agent design loop inside Codex. Not every workflow needs the agent to drive everything. You design in Open Design. Codex reviews the output. It can inspect files, open pages, test interactions, critique the design, and turn feedback into the next prompt. Design becomes a human + agent feedback loop.
1:08

Demo 2: human + agent design loop inside Codex. Not every workflow needs the agent to drive everything. You design in Open Design. Codex reviews the output. It can inspect files, open pages, test interactions, critique the design, and turn feedback into the next prompt. Design becomes a human + agent feedback loop.

Open Design

20,103 views • 4 months ago

📊We’ve rebuilt Dashboards in LangSmith to make them more useful for investigation and reporting. Put KPIs next to trends, compare metrics with different units, break traces down by model or user, add notes, and arrange the dashboard freely.
0:24

📊We’ve rebuilt Dashboards in LangSmith to make them more useful for investigation and reporting. Put KPIs next to trends, compare metrics with different units, break traces down by model or user, add notes, and arrange the dashboard freely.

LangChain

15,969 views • 1 month ago

launching something new today: ChatDB is the easiest way to understand, visualize, and share data.
0:33

launching something new today: ChatDB is the easiest way to understand, visualize, and share data.

Luke Wroblewski

16,840 views • 1 year ago

New: Coding sessions on mobile Keep work moving from the Linear mobile app. Review code changes, comment on specific lines, and send feedback directly to the agent.
0:20

New: Coding sessions on mobile Keep work moving from the Linear mobile app. Review code changes, comment on specific lines, and send feedback directly to the agent.

Linear

62,587 views • 2 months ago

Voice agents add a new dimension to learning. Today, we're introducing Albert Einstein's voice to ElevenLabs, and launching an Einstein agent, to bring his written archives to life in his iconic voice.
1:29

Voice agents add a new dimension to learning. Today, we're introducing Albert Einstein's voice to ElevenLabs, and launching an Einstein agent, to bring his written archives to life in his iconic voice.

ElevenLabs

47,578 views • 4 months ago

Orca has a design mode: draw and annotate right on your site, then send that feedback to any AI agent. Drop the site you built with it 👇:
0:33

Orca has a design mode: draw and annotate right on your site, then send that feedback to any AI agent. Drop the site you built with it 👇:

Orca ADE

32,612 views • 1 month ago

You can decide how much autonomy you give to the agent in Google Antigravity Drop asynchronous feedback within artifacts and the agent folds it in when the time is right.
0:45

You can decide how much autonomy you give to the agent in Google Antigravity Drop asynchronous feedback within artifacts and the agent folds it in when the time is right.

Google Antigravity

81,962 views • 10 months ago

🚀 The next evolution of DreamFlow is here with a reimagined tri-surface experience. ✓ Build visually ✓ Edit code directly or with an agent ✓ Publish to app stores Start with a prompt, shape it visually, and refine it in code. And we’re just getting started.
1:54

🚀 The next evolution of DreamFlow is here with a reimagined tri-surface experience. ✓ Build visually ✓ Edit code directly or with an agent ✓ Publish to app stores Start with a prompt, shape it visually, and refine it in code. And we’re just getting started.

Dreamflow

33,793 views • 1 year ago

With Antigravity, you collaborate with your agent using Google Docs-style commenting. Highlight specific sections of your app or data tables to provide contextual feedback and refine features in real time. Learn how to collaborate with Artifacts, here →
2:30

With Antigravity, you collaborate with your agent using Google Docs-style commenting. Highlight specific sections of your app or data tables to provide contextual feedback and refine features in real time. Learn how to collaborate with Artifacts, here →

Google Cloud Tech

52,203 views • 7 months ago