- Building AI Agents
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- Microsoft's agent course for beginners
Microsoft's agent course for beginners
Plus: easily build a web scraping agent without coding, how outdated infrastructure could hold agentic AI back, and more

Welcome back to Building AI Agents, your biweekly guide to everything new in the AI agent field!
A machine learning algorithm walked into a bar. reddit.com/r/programmerhu…
— Programmer Humor (@PR0GRAMMERHUM0R)
5:00 PM • Sep 12, 2021
Ten beers later, it experienced model collapse.
In today’s issue…
The new Replit Agent is here
Microsoft’s lesson series for new agent builders
Easily build a web scraping agent without coding
How IT infrastructure could hold agents back
…and more
🔥 IN CASE YOU MISSED IT
Readers’ favorite items from last week
📰 NEWS

Source: Replit
Replit Agent, which created a stir last year with its astonishing ability to autonomously code entire apps, is back with a new version.
AI-powered search startup Perplexity opened the waitlist for Comet, a “browser for agentic search”.
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🛠️ USEFUL STUFF

Source: Microsoft
A series of intro lessons on AI agents covering agent frameworks, tool use, design patterns, and more.
This simple tutorial shows how to use popular no-code framework n8n to obtain and process Google search results.
A library by LangChain enabling users to build swarm-style agents, which specialize in specific roles and complete tasks by intelligently handing them off to each other.
An e-book providing a deep dive into single- and multi-agent architectures, particularly for applications which require information retrieval at scale.
💡 ANALYSIS

Created by the author using Dall-E 3
The main barrier to transforming companies’ operations with AI agents will be outdated data systems, not the agents’ intrinsic capabilities, this piece argues
Slack’s Chief Marketing Officer predicts that employees will soon spend more time at work interacting with AI agents than with co-workers, consistent with NVIDIA CEO Jensen Huang’s vision of hundred-million-agent companies.
🧪 RESEARCH

Source: Wikipedia
This paper by Google researchers presents a new framework for agents to intelligently approach problems which can be used by any model.
Thanks for reading! Until next time, keep learning and building!
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