Dispatches from the field
Practical guides on deploying AI agents in production. No fluff.
Debugging an AI agent that lies in production
A customer support agent confidently fabricated a refund policy. The hard part wasn't fixing it. The hard part was finding the exact decision step where the lie was born — and proving it.
OpenTelemetry GenAI Semantic Conventions for LangChain — what to instrument and what to skip
The OTel GenAI conventions name the attributes a GenAI span carries. Most LangChain callbacks emit useful spans. A few are just noise. Here's the field-tested recipe we landed on after instrumenting a few too many of our own agents.
Why agent observability is different from LLM observability
LLM observability tells you the model did its job. Agent observability tells you whether the agent did its job. The gap between those two things is where every production bug we've debugged lives.
What AI Agents Can Do for Your Business in 2026
Non-technical explanation of AI agents with concrete use cases and how Trefur makes them accessible.
Why We Chose Go for Our Agent Infrastructure
Architecture decisions, performance benchmarks, and why Go outperformed alternatives for our agent platform.
The Problem with AI Agent Observability
AI agents are the new software — but you can't see what they're doing. Here's why that matters.
How to Instrument Your LangChain Agent in 3 Minutes
Step-by-step tutorial for adding observability to your LangChain agents with code snippets and trace viewer output.
Why We Built Trefur
The problem: agents are the new software, but the infrastructure is missing. What Trefur is and where it's going.
5 Common AI Implementation Mistakes and How to Avoid Them
Most AI projects fail. Here's how to avoid the mistakes that trip up most companies.
AI Agents vs Chatbots: What's the Difference?
Chatbots are passé. AI agents are the future. Here's why understanding this difference matters for your business.
Which AI Model Should You Use? GPT-4 vs Claude vs Gemini
Not all AI models are created equal. We break down the strengths and weaknesses of each to help you choose.
How to Price Your AI Agent: A Complete Guide
Stop guessing. Here's the framework we use to price AI agents for SMBs and enterprises — and how to communicate value to clients.
RAG vs Fine-Tuning: When to Use Each
Build a chatbot that knows your data? That's RAG. Want AI that sounds like your brand? That's fine-tuning. Here's when to use which.
Your AI Implementation Checklist: 20 Questions Before You Start
Planning an AI project? Don't start without this. A step-by-step checklist for successful AI deployment in SMBs.
Build Your First AI Customer Support Bot
A practical guide to creating an AI support agent that actually works — connects to your docs, learns from past tickets, and integrates with your tools.
Why Singapore SMEs Are Losing to AI — And How to Win
Small and medium businesses in Singapore are falling behind not because they lack resources, but because they don't know where to start with AI.
The Future of AI in 2026: What Singapore Businesses Need to Know
AI is evolving faster than most companies can adapt. Here are the key trends shaping 2026.
From ChatGPT to Production: The Missing Link
Everyone uses ChatGPT. But turning it into a business tool that connects to your data, your integrations, and your workflows? That's where most companies get stuck.
AI Consultant vs. AI Platform: What Do You Actually Need?
Hiring an AI consultancy at $300/hour sounds expensive — until you realize building it yourself costs more in lost time. We break down the math.
Data Security in AI: What Singapore Companies Need to Know
PDPA, data residency, and enterprise security. A practical guide to deploying AI without compromising sensitive data.
The ROI of AI Automation: A Framework for Decision Makers
How to calculate whether AI automation makes sense for your business. Includes a framework and real case studies.
AI-Powered Customer Support: The Complete Guide for Singapore Businesses
Transform your customer support with AI. From chatbots to intelligent routing, learn how to reduce costs while improving satisfaction.