Jonathan Pedoeem

268 posts

How to Build Your Own Deep Research

Imagine an AI assistant that can accomplish in 30 minutes what might take a human researcher 6–8 hours. That’s the promise of OpenAI’s Deep Research—and the best part is that you can build a version tailored to your own workflows. By examining Deep Research’s likely

Prompt Caching Techniques

Learn how prompt caching can reduce latency and costs by managing repeated prompts efficiently. This guide offers practical strategies for developers to enhance application performance and streamline AI processes when using LLMs.

How to Apply Anthropic’s Prompt Guide

Discover practical insights from Anthropic’s prompt guide focused on precision and structure. Learn to craft effective prompts for Claude, with explicit instructions and realistic examples. Test and refine prompts using actual product data for reliable outputs and safe behavior.

A deep dive into LLM observability tools

You ship a feature powered by a language model, and for three weeks everything works beautifully. Then support tickets start trickling in: users are reporting confident-sounding answers that are completely wrong. You check the logs, but all you see are successful API responses, latency numbers, and status codes. The

LLM-as-a-Judge: How Do You Know If Your AI Is Actually Good?

For a long time, teams answered this question by either paying humans to review model outputs or relying on automated metrics that rarely captured what users actually care about. Now there’s a practical middle ground gaining traction in LLM-powered applications: using one LLM to evaluate another (LLM-as-

MCP vs API: Architecture Patterns for AI Agents and Applications

What actually powers the LLM workflows that AI teams are building, evaluating, and shipping in 2026? Behind every agent action, data lookup, prompt evaluation, and automated workflow sits a collection of protocols and interfaces making it possible. Two of the most important, and often confused, are MCPs and APIs. At

BrainTrust Alternatives - The Best Prompt Management Platforms in May 2026

Introduction If you’re evaluating Braintrust, you’re probably not “just browsing” - you’re already thinking about the operational reality: tracing volume, evaluation cost, and how quickly your team can ship changes. Braintrust’s public pricing is transparent about core drivers like trace spans, processed data/storage, scores, and retention,

The Antidote is Soul

How can AI teams stand out in the age of AI agents? Every website has cool animations now. Every SaaS landing page has the same purple gradients, the same floating illustrations, the same polished corners. AI made perfection free. Every digital meal is a bowl. We live in the age

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