Quickstart: LangSmith Fleet | LangChain Academy

LangChain · Beginner ·🤖 AI Agents & Automation ·1mo ago

Key Takeaways

Builds AI agents using LangSmith Fleet without writing code

Original Description

LangSmith Fleet is the easiest way to build, deploy, and manage AI agents without writing a single line of code. Just chat. Most teams struggle to adopt AI at scale: prompts are hard to write, automation tools have steep learning curves, and it's rarely clear which tasks can be reliably automated. Fleet solves all of this by creating true agents — not rigid workflows — that reason, adapt, delegate to sub-agents, and improve with feedback over time. We created a free LangChain Academy course that will show you how to start creating agents using everyday language. Get ready to learn how to build no-code agents for real work with LangSmith Fleet. Enroll for free today. 0:00 What is LangSmith Fleet? 0:27 The challenge teams face with AI adoption 0:43 Why agents beat workflows 1:01 What agents can do 1:26 What you'll learn Extra resources - Enroll for free: https://academy.langchain.com/courses/quickstart-agent-builder - Learn more about LangSmith Fleet: https://www.langchain.com/langsmith/fleet - About LangChain: https://langchain.com/
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Knowledge-and-Memory-Management v0.0.2: Portable Knowledge Collection and Memory Management
Learn how Knowledge-and-Memory-Management v0.0.2 simplifies knowledge collection and memory management for building persistent knowledge bases
Dev.to AI
📰
How an AI agent analyzes BTC with AlgoVault MCP
Learn how an AI agent analyzes BTC using AlgoVault MCP and makes trade calls
Dev.to AI
📰
Vint Cerf is working on a plan to unleash AI agents on the open internet
Learn how Vint Cerf's plan to unleash AI agents on the open internet can impact AI development and why it matters for AI engineers and researchers
TechCrunch AI
📰
3 a.m. thought: Where this agent engineering heading
Learn about the current state and future of agent engineering, a field that turns capable but uneven models into reliable task performers
Dev.to AI

Chapters (5)

What is LangSmith Fleet?
0:27 The challenge teams face with AI adoption
0:43 Why agents beat workflows
1:01 What agents can do
1:26 What you'll learn
Up next
Agentic AI System Design- Complete Roadmap
Aishwarya Srinivasan
Watch →