From the Team
Engineering insights, product updates, tutorials, and industry analysis from the Transactional team.
Webhooks Will Fail. Here are the Retry and Idempotency Patterns That Save You.
Practical patterns for reliable webhook delivery: exponential backoff with jitter, idempotency keys, dead letter queues, and signature verification. TypeScript code included.
We Evaluated 12 LLM Observability Tools. Most of Them Do Not Matter.
A practical evaluation of LLM observability tools across tracing, cost tracking, quality monitoring, and prompt management. What matters, what is marketing, and what to actually look for.
An Enterprise Team Was Shipping Hallucinations to Users. Traces Showed Them Where.
How an enterprise company with AI-powered customer support reduced hallucination rates from 8% to 0.3% and cut AI issue MTTR from days to minutes using LLM observability and trace-level analysis.
Your AI Agent Will Crash in Production. Plan for It.
Common AI agent failure modes and how to handle them: tool execution failures, context window overflow, infinite loops, and hallucinated function calls. Production-ready error patterns with code.
A Fintech Team Cut Their LLM Bill by 70%. Here is Exactly How.
How a fintech company processing loan applications with LLMs reduced their monthly AI spend from $15K to $4.5K using semantic caching, fallback routing, and token optimization.
From 78% to 99.5% Inbox Placement. One SaaS Team's Email Fix.
How a B2B SaaS sending 2M transactional emails per month went from 78% inbox placement to 99.5% in 6 weeks by fixing authentication, IP reputation, and sending practices.
Why Your AI Chatbot Forgets Everything (And How to Fix It)
Architecture of persistent user memory using vector search for LLM applications. Embedding strategies, retrieval patterns, memory decay, and per-user scoping.
How Semantic Caching Can Cut Your LLM Costs by 60%
A practical guide to implementing semantic caching with vector embeddings to reduce LLM API costs. Covers architecture, similarity thresholds, cache invalidation, and production considerations.
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The EU AI Act Starts Enforcing in August. Here is What You Need to Do.
The EU AI Act enforcement begins August 2026. A practical guide for developers building AI features, covering risk classification, documentation requirements, and compliance steps.
Your Developers Are Already Using AI Tools You Do Not Know About
Shadow AI is the new shadow IT. Developers are using ChatGPT, Copilot, and Claude without oversight. Blocking them is not the answer. Here is a governance framework that actually works.
AI Security in 2026: 77% of Companies Have No Policy. That is a Problem.
Most enterprises have deployed AI without any security policy. Here is what a minimal AI security framework looks like and why you need one before August.
Build an AI Chatbot with Persistent Memory in 30 Minutes
Step-by-step tutorial for building an AI chatbot that remembers previous conversations using vector storage, embeddings, and context retrieval. TypeScript code throughout.
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