Knowledge Base
Production AI Engineering Blog
Practical guides on AI engineering: production agents, RAG pipelines, model benchmarks, LLM cost, and agent infrastructure
Should an AI Coding Agent's Review Satisfy the PR Approval Gate?
Separate AI-generated changes, AI code review, human approval, and merge rights with GitHub's native branch controls and release checks.
When Should an AI Agent Run as a Background Job?
Keep short agent calls synchronous. Move multi-step work that can wait, resume, or pause for review into a durable job with a clear status contract.
AI Agent Memory Boundaries: What to Persist Between Runs
Decide what a production agent should keep in session history, workflow state, long-term memory, and source systems.
AI Agent Tool Retries: Prevent Duplicate Writes After a Timeout
A timeout does not prove an agent's write failed. Use stable operation IDs, target-side idempotency, and reconciliation before retrying tool calls.
OpenAI DevDay 2026: What Shipped and How Builders Can Use It
OpenAI DevDay 2026 shipped persistent agents, Codex Cloud, GPT-6.1 Sol, computer use, and shared workspaces. Here is what builders should try first.
Computer-Use AI Agents: Automate Back-Office Screens Without Risky Clicks
Computer-use AI agents can move admin work through old portals and CRMs, but service businesses need review gates before launch.
Microsoft Service Agent Is GA: Prepare the Back Office Before AI Updates Cases
Microsoft Service Agent is generally available. Learn how service businesses should prepare inbox, CRM, case, and handoff workflows before AI takes action.
Before AI Agents Touch Your CRM, Map the Back-Office Rules
AI agents can update business tools, not just answer questions. Learn how service businesses can prepare CRM, inbox, and scheduling workflows safely.
Outcome-Based AI Customer Service Pricing: What Service Businesses Should Measure First
Outcome-based AI customer service pricing is spreading in 2026. Here is what service businesses should measure before paying for AI resolutions.
AI Customer Service Agent Rollbacks: What Service Businesses Should Fix First
AI customer service agents are being rolled back when governance and context fail. Here is what service businesses should fix before launch.
Claude Opus 4.7: Benchmarks, Pricing and What It Means for AI Agents in 2026
Anthropic Claude Opus 4.7 jumps to 87.6% on SWE-bench with best-in-class tool use and 3x vision resolution. Here is what developers need to know.
Boston Dynamics Spot + Gemini AI: How Robots Learned to Read Gauges and Think
Google DeepMind Gemini Robotics-ER 1.6 gives Spot embodied reasoning — reading gauges at 98% accuracy, spotting spills, and understanding the world.
OpenAI Codex Now Controls Your Mac: What the April 2026 Update Means for Developers
OpenAI Codex can now autonomously interact with macOS apps — clicking, typing, and navigating while you work in the background.
OpenClaw Services Guide: Setup, Integrations, Skills, and Support (2026)
What OpenClaw services actually include, when to use them, and how teams turn OpenClaw into a secure personal AI agent with integrations, skills, and ongoing support.
Mission Control for OpenClaw: Using Claw Desktop for Oversight and Approvals (2026)
How Claw Desktop works as mission control for OpenClaw workflows, with approvals, timeline review, traces, and safer oversight for browser and messaging tasks.
OpenClaw Setup Guide: Personal AI Agents for Real Workflows (2026)
A practical guide to installing OpenClaw, running the onboarding wizard, connecting channels, and turning it into a secure personal AI assistant for real work.
ClawDBot to OpenClaw Migration Guide (2026)
How to audit an older ClawDBot-style setup, migrate to OpenClaw safely, tighten gateway security, and validate channels, browser automation, and workflows.
Production RAG Systems: Complete Implementation Guide (2025)
Build production-ready RAG systems with proven architecture patterns, optimization strategies, and solutions to common pitfalls. Includes real code examples and benchmarks from 10+ deployments.
How to Build Reliable AI Agents: Production Best Practices (2025)
Complete guide to building production-ready AI agents that are reliable, debuggable, and cost-effective. Includes ReAct patterns, state management, error handling, and real case studies.
How to Reduce LLM API Costs by 70%: Proven Strategies (2025)
Cut OpenAI and Claude API costs without sacrificing quality. Proven strategies including semantic caching, smart model selection, prompt optimization, and batch processing with real case studies.
Best Vector Database 2025: Pinecone vs Weaviate vs Qdrant Compared
Complete comparison of the best vector databases for RAG and AI applications. Real performance benchmarks, pricing analysis, and recommendations based on 15+ production deployments.
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