PRODUCTION
Taking AI systems from prototype to production - observability, verification, and real-world failure modes.
9 resources - 9 posts
Blog Posts
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Agent Architecture: Building Multi-Step AI Workflows That Survive Production
A practical architecture for multi-step Claude agents. Loop patterns, state management, error recovery, and the production gotchas that turn a five-step demo into a 20 percent success rate at scale.
11 min read
OpenAI Agents SDK Evolution: What Ships in Production
Configurable memory, sandbox-aware orchestration, Codex-like filesystem tools. Here is how the new Agents SDK actually behaves in prod.
10 min read
Claude API Reliability: Error Handling Best Practices
The defensive patterns that keep Claude integrations alive in production. Retry shapes, backoff with jitter, circuit breakers, fallback chains, and the observability you need to debug at 3am.
10 min read
GPT-5.4 for Developers: The Production Guide
GPT-5.4 ships state-of-the-art computer use, steerable thinking, and a million-token window. Here is the implementation guide for builders, with real OpenAI SDK code, the 272K pricing cliff, and where it actually beats 5.3 and 5.5 in production.
12 min read
GPT-5.5-Codex in Production: What Actually Changes
GPT-5.5-Codex merges Codex and GPT-5 stacks. Here is what the unified model means for real coding agents - latency, costs, prompt rewrites.
9 min read
GPT-5.5 for Developers: A Production Field Guide
GPT-5.5 and 5.5 Pro hit the API on April 24. Here is what changes for builders: pricing, agentic tasks, tool-use, and the real benchmarks I ran the day it dropped.
11 min read
OpenAI Privacy Filter: Production PII Redaction Guide
OpenAI shipped an open-weight PII redactor. Here is how to wire it into a real ingestion pipeline locally, fast, with zero leaks, and how it benchmarks against Presidio and a regex baseline.
10 min read
RAG with Claude: Add Context Without Retraining
A production-grade RAG pipeline with Claude. Chunking that survives real documents, retrieval tuning that actually moves the needle, citation tracking, and the prompt caching trick that makes RAG cheap enough to ship.
10 min read
The Agent Reliability Cliff: Why Your 10-Step Chain Only Succeeds 20% of the Time
The math of agent pipelines is brutal. 85% reliability per step compounds to about 20% at 10 steps. Here is why long chains collapse in production, and the six patterns the field has converged on to fight the decay.
9 min read
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