Loading video...

Video Failed to Load

Go Home

AI observability platforms raised $1B+ to reinvent print debugging for the agent era. Reading traces manually is not a scalable production workflow. We think the stack should catch issues itself. Meet Respan.

RespanAI's profile picture

Respan

1,702 subscribers

1,350,804 views • 1 month ago •via X (Twitter)

Science & TechnologyFinance
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Sometimes the best way to build a UI for an agent is to not build the UI at all. I built an AI agent starter that lives in iMessage. Built on Nitro + Vercel Workflow SDK + evlog - Durable execution - Auto-retry on errors - Full observability
0:28

Sometimes the best way to build a UI for an agent is to not build the UI at all. I built an AI agent starter that lives in iMessage. Built on Nitro + Vercel Workflow SDK + evlog - Durable execution - Auto-retry on errors - Full observability

Hugo

11,647 views • 1 month ago

The AI revolution is here! Embrace the future of connectivity with Discover how our agent-to-agent communication will reinvent your workflow to save you time and effort. #BuiltOnFetchai
1:32

The AI revolution is here! Embrace the future of connectivity with Discover how our agent-to-agent communication will reinvent your workflow to save you time and effort. #BuiltOnFetchai

Fetch.ai

110,356 views • 2 years ago

Introducing Respan AI Gateway. The world’s first AI gateway with built-in observability, evals, and prompt optimization. Access 1,000+ models through one endpoint, with the production layer teams need beyond routing.
0:38

Introducing Respan AI Gateway. The world’s first AI gateway with built-in observability, evals, and prompt optimization. Access 1,000+ models through one endpoint, with the production layer teams need beyond routing.

Respan

847,191 views • 15 days ago

Just announced at Interrupt! SmithDB. Agent traces have outgrown the databases built to hold them. That’s why we built SmithDB, a purpose-built distributed database for agent observability. Read the announcement from Co-Founder Ankush Gola →
1:06

Just announced at Interrupt! SmithDB. Agent traces have outgrown the databases built to hold them. That’s why we built SmithDB, a purpose-built distributed database for agent observability. Read the announcement from Co-Founder Ankush Gola →

LangChain

133,863 views • 1 month ago

Pydantic Logfire MCP Server is here! Easily hook your AI agents into observability data (logs, traces, metrics) and supercharge debugging in real time. For Cursor integration, just update .cursor/mcp.json to use Logfire and you’re set.
0:59

Pydantic Logfire MCP Server is here! Easily hook your AI agents into observability data (logs, traces, metrics) and supercharge debugging in real time. For Cursor integration, just update .cursor/mcp.json to use Logfire and you’re set.

Pydantic

12,460 views • 1 year ago

today we're launching the AI agent stack we built that rocketed us to a $3m AI agent consultancy. we're calling it AgentPress, and it allows you to build production grade AI agents in minutes. here's a video of me creating a sales Q&A agent
11:34

today we're launching the AI agent stack we built that rocketed us to a $3m AI agent consultancy. we're calling it AgentPress, and it allows you to build production grade AI agents in minutes. here's a video of me creating a sales Q&A agent

Andy Walters

207,205 views • 9 months ago

Meshy MCP is LIVE 🦞 We take your AI Agent beyond 3D generation. Rigging · Retexture · Remesh · Animation · 3D Print Others give you a model. Meshy gives you the full workflow.
0:51

Meshy MCP is LIVE 🦞 We take your AI Agent beyond 3D generation. Rigging · Retexture · Remesh · Animation · 3D Print Others give you a model. Meshy gives you the full workflow.

MeshyAI

119,568 views • 2 months ago

This week I'm launching a new series: "Observability from Zero to Hero" Over the next 7 posts, we'll cover: • Monitoring vs Observability • Metrics, Logs & Traces • Incident Investigation • Observability Maturity Models • Golden Signals, RED & USE • AI Observability • Designing a Modern Observability Platform
0:25

This week I'm launching a new series: "Observability from Zero to Hero" Over the next 7 posts, we'll cover: • Monitoring vs Observability • Metrics, Logs & Traces • Incident Investigation • Observability Maturity Models • Golden Signals, RED & USE • AI Observability • Designing a Modern Observability Platform

Jaydeep

33,091 views • 16 days ago

AI agents fail silently in production: tool failures, hallucinated outputs, incomplete workflows, and long traces hide the real issue. Moda (moda) is monitoring & reliability built for AI agents, helping you catch issues before users do. Congrats on the launch, pranav & Mohammad Al-Rasheed!
1:37

AI agents fail silently in production: tool failures, hallucinated outputs, incomplete workflows, and long traces hide the real issue. Moda (moda) is monitoring & reliability built for AI agents, helping you catch issues before users do. Congrats on the launch, pranav & Mohammad Al-Rasheed!

Y Combinator

30,143 views • 3 months ago

x402 is now scalable to millions of agents. If you provide x402 endpoints, you can install our SDK for free to gain observability, agent traffic, and the ability to refund payments when an endpoint delivers a bad response. Agents will run the online world. We make it possible.
1:11

x402 is now scalable to millions of agents. If you provide x402 endpoints, you can install our SDK for free to gain observability, agent traffic, and the ability to refund payments when an endpoint delivers a bad response. Agents will run the online world. We make it possible.

zauth

21,132 views • 4 months ago

Delhi: SP MP Ziaur Rahman Barq says, "We also support the national anthem, respect it, and sing it. As for the national song, that is a different matter. I believe it is not necessary for us. By raising such issues, the BJP government wants to divert attention from real issues. We believe such issues should not be raised, as they create controversy…"
0:51

Delhi: SP MP Ziaur Rahman Barq says, "We also support the national anthem, respect it, and sing it. As for the national song, that is a different matter. I believe it is not necessary for us. By raising such issues, the BJP government wants to divert attention from real issues. We believe such issues should not be raised, as they create controversy…"

IANS

133,586 views • 6 months ago

today, we're introducing self diagnostics: the first ever way for agents to proactively self-report issues they encounter. welcome to the future of agent observability.
0:53

today, we're introducing self diagnostics: the first ever way for agents to proactively self-report issues they encounter. welcome to the future of agent observability.

ben hylak

62,759 views • 3 months ago

🚨just in: the first AI coding agent for serious builder is here AI copilots help you write code. ClackyAI helps you build software. your agentic coding studio → L3 agentic AI, full-stack awareness, real-time debugging, parallel tasking join the beta now:
0:29

🚨just in: the first AI coding agent for serious builder is here AI copilots help you write code. ClackyAI helps you build software. your agentic coding studio → L3 agentic AI, full-stack awareness, real-time debugging, parallel tasking join the beta now:

Nelly;

31,332 views • 1 year ago

Meet the new Bluwhale 👀 Our website is now live — redesigned for the AI agent era. • Agent-centric experience • Clearer, task-driven journeys • Smarter AI-powered interactions Explore the new Bluwhale 👇
0:27

Meet the new Bluwhale 👀 Our website is now live — redesigned for the AI agent era. • Agent-centric experience • Clearer, task-driven journeys • Smarter AI-powered interactions Explore the new Bluwhale 👇

Bluwhale

35,642 views • 1 month ago

Announcing our public preview of Chrome DevTools MCP! Experience the full power of DevTools in your AI coding agent → With Chrome DevTools MCP, your AI agent can run performance traces, inspect the DOM, & perform real-time debugging of your web pages.
0:32

Announcing our public preview of Chrome DevTools MCP! Experience the full power of DevTools in your AI coding agent → With Chrome DevTools MCP, your AI agent can run performance traces, inspect the DOM, & perform real-time debugging of your web pages.

Chrome for Developers

1,041,629 views • 9 months ago

Why is observability so hard to do well - and so expensive, in general? What is "Observability 2.0" and is Open Telemetry any good? In today's episode of The Pragmatic Engineer Podcast, we answer all of these with Charity Majors , co-author of the O'Reilly book "Observability Engineering," former engineer at Parse/Facebook, and cofounder and CTO at Honeycomb Watch it here: • YouTube: • Apple: • Spotify: • Summary and transcript: Brought to you by our wonderful sponsors - check out their offerings: • Sonar — Trust your developers – verify your AI-generated code. • Vanta — Automate compliance and simplify security with Vanta ---- Topics we cover in this episode: • What is observability? Charity’s take • What is “Observability 2.0?” • Why Charity is a fan of platform teams • Why DevOps is an overloaded term: and probably no longer relevant • What is cardinality? And why does it impact the cost of observability so much? • How OpenTelemetry solves for vendor lock-in • Why Honeycomb wrote its own database • Why having good observability should be a prerequisite to adding AI code or using AI agents • And more! --- My biggest takeaways: 1. The DevOps movement feels like it’s in its final days, having served its purpose. 2. Lots of people get dashboards wrong! Charity doesn’t think that static dashboards are helpful to engineering teams at all. In fact, misusing dashboards is one of the most common observability practices. 3. Observability will be especially important for AI use cases in these ways: a) o11y for LLMs: to get data on how they behave and to be able to debug behaviors. This is relevant for teams building and operating AI models. b) o11y for code generated by AI: the generated code should have the right amount of observability in place. Once the code is deployed to production, developers need to be able to get a sense of how the code is behaving there!
0:46

Why is observability so hard to do well - and so expensive, in general? What is "Observability 2.0" and is Open Telemetry any good? In today's episode of The Pragmatic Engineer Podcast, we answer all of these with Charity Majors , co-author of the O'Reilly book "Observability Engineering," former engineer at Parse/Facebook, and cofounder and CTO at Honeycomb Watch it here: • YouTube: • Apple: • Spotify: • Summary and transcript: Brought to you by our wonderful sponsors - check out their offerings: • Sonar — Trust your developers – verify your AI-generated code. • Vanta — Automate compliance and simplify security with Vanta ---- Topics we cover in this episode: • What is observability? Charity’s take • What is “Observability 2.0?” • Why Charity is a fan of platform teams • Why DevOps is an overloaded term: and probably no longer relevant • What is cardinality? And why does it impact the cost of observability so much? • How OpenTelemetry solves for vendor lock-in • Why Honeycomb wrote its own database • Why having good observability should be a prerequisite to adding AI code or using AI agents • And more! --- My biggest takeaways: 1. The DevOps movement feels like it’s in its final days, having served its purpose. 2. Lots of people get dashboards wrong! Charity doesn’t think that static dashboards are helpful to engineering teams at all. In fact, misusing dashboards is one of the most common observability practices. 3. Observability will be especially important for AI use cases in these ways: a) o11y for LLMs: to get data on how they behave and to be able to debug behaviors. This is relevant for teams building and operating AI models. b) o11y for code generated by AI: the generated code should have the right amount of observability in place. Once the code is deployed to production, developers need to be able to get a sense of how the code is behaving there!

Gergely Orosz

25,485 views • 1 year ago

We raised $1M dollars to reinvent how people read. Introducing Mark II - a $159 AI bookmark. Thread below
2:45

We raised $1M dollars to reinvent how people read. Introducing Mark II - a $159 AI bookmark. Thread below

Mark™

10,878,105 views • 1 month ago

RIP Coders RIP Designers RIP Analysts RIP Researcher this AI agent builds full-stack apps, automates your computer, does deep research, and runs your entire workflow by itself:
0:20

RIP Coders RIP Designers RIP Analysts RIP Researcher this AI agent builds full-stack apps, automates your computer, does deep research, and runs your entire workflow by itself:

Nelly;

120,027 views • 8 months ago