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Peter Isaacs

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Peter Isaacs

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About

Peter’s current obsessions include LLMs and conversational AI. When Peter’s not writing furiously about saving the future of AI, you can find him solving a Rubik's Cube in under 60 seconds. (Note: may not result in single-colored sides.)

Peter’s current obsessions include LLMs and conversational AI. When Peter’s not writing furiously about saving the future of AI, you can find him solving a Rubik's Cube in under 60 seconds. (Note: may not result in single-colored sides.)

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Blogs

Agent logs: Understanding why your agent did what it did

Debugging software is hard. Debugging agents is harder.

Peter Isaacs

Building your AI centre of excellence

What you really give up by outsourcing your AI agents

Peter Isaacs

From POC to production: How to actually ship AI agents

There's no shortage of AI pilots, but most of them never ship. The ones that do all have these things in common.

Peter Isaacs

Behind the hype: How Klarna's customer support agent falls short

Earlier this year, Klarna unveiled an agent that does the work of 700 full-time people. But how effective is the Klarna agent, really?

Peter Isaacs

Chatbot glow-up: 3 reasons everyone hates your AI agent (and what you can do about it)

Customers have been having mediocre conversations with chatbots for years and those poor experiences have left a mark. Here are the three reasons why your chatbot might suck and what you can do about it.

Peter Isaacs

Architecting the future of AI agents: 5 flexible conversation frameworks you need

Traditional turn-by-turn conversation design is quickly becoming outdated. As language models become more advanced, we need a new approach—organic conversation.

Peter Isaacs

Contributions

Removing Hallucinations for a Wells Fargo Customer Support Banking Agent

Using the knowledge base API and a series of prompts, he removes hallucinations for the financial industry bot

E-commerce AI Product Recommender for Indochino

Pete walks through how to build an AI style advisor for Indochino

Building an AI-Powered Hotel Booking Assistant

Pete walks through how to build a personalized hotel booking assistant for Hotels.com by leveraging CRM data, large language models (LLMs), and Airtable integration.

Conversational Check-in Flow for Jet Blue

This agent can dynamically check a user into their flight with complex state management and custom chat extensions.

AI Real Estate Workflow for Lead Generation and Appointment Setting

An AI agent that is always “on” for you, getting new buyers’ requirements and proactively serving interesting listings.

AI Order Return Agent for New Balance

how to build an embedded web agent that can track order status, process refunds, and provide product recommendations

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