· 5 min read
AI Agent Guardrails for Production: Beyond Security Filters
Security guardrails block prompt injection and PII leaks. They don't catch an agent confidently approving the wrong refund or calling a tool with the wrong argument. Here's the difference, and why production agents need both.
· 6 min read
How to Test an AI Guardrail Before Deploying It
Ship a guardrail blind and you can block real customers as easily as you catch real problems. Here's how to replay a proposed rule against your own past traffic first, and read the two numbers that tell you whether it's ready.
· 5 min read
Guardrails for Voice Agents and Real-Time AI: Enforcing Without Added Latency
A proxy-based guardrail adds a network hop to every request. For a real-time voice agent, that hop is the difference between a natural response and an audible pause. Here's why in-process enforcement is the only architecture that works for live calls.
· 6 min read
How to Govern AI Agents: Proving What They Were Allowed to Do
When a compliance reviewer asks what your agent was authorized to do and who approved it, 'we trust the prompt' isn't an answer. Here's what governing an AI agent in production actually requires: approval holds, an audit trail, and evidence a reviewer can act on.
· 6 min read
How to Know When Your AI Agent Is Wrong in Production
AI agents fail without throwing errors: no exception, no timeout, just a wrong answer or a wrong action. Here's how to recognize a silent agent failure, the patterns behind it, and how to catch one before a customer does.
· 6 min read
How to Stop an AI Agent From Making the Same Mistake Twice
You fixed the prompt last week. The failure came back in a slightly different form. Here's why prompt patches don't hold, and how to turn a caught failure into a rule the agent can't ignore.
· 5 min read
How to Migrate from Langfuse to Zespan (2026 Guide)
A step-by-step migration guide from Langfuse to Zespan: what maps across cleanly, what changes in the data model, how to run both in parallel, and what the ClickHouse acquisition means for self-hosted teams.
· 5 min read
How to Migrate from LangSmith to Zespan (2026 Guide)
A step-by-step migration guide from LangSmith to Zespan: decoupling from LangChain-specific tracing, what per-seat pricing actually costs at team scale, running both in parallel, and cutting over safely.
· 5 min read
How to Migrate from Maxim AI to Zespan (2026 Guide)
A step-by-step migration guide from Maxim AI to Zespan: moving from a simulation-and-eval workflow to production-first observability, what per-user pricing costs at scale, and how to cut over without losing your eval coverage.
· 11 min read
5 Best Langfuse Alternatives in 2026 (Ranked & Compared)
Langfuse self-hosting costs $200–800/mo in ClickHouse infra and has no built-in evals. We ranked the top 5 alternatives on pricing, agent support, and eval capabilities — with a clear winner for agent teams.
· 15 min read
Best AI Agent Observability Tools in 2026: Zespan vs Langfuse vs LangSmith vs Helicone
The top AI agent observability tools compared: Zespan, Langfuse, LangSmith, and Helicone. Feature tables, pricing, and how to pick the right tool.
· 14 min read
Helicone Alternatives in 2026: Best Options for AI Agent Observability
Top Helicone alternatives for AI agent observability in 2026. Agent support, eval capabilities, pricing, and proxy-free architectures compared.
· 9 min read
Google ADK Observability: Monitor Gemini Agents in Production
Monitor Google ADK agents in production: delegation traces, Gemini model cost attribution, built-in evals. Zespan auto-patches Gemini API in two lines.
· 10 min read
CrewAI Observability: How to Monitor Crews in Production
Full observability for CrewAI crews in production: traces per agent, delegation visibility, cost per task, and eval templates. 3-line setup with Zespan.
· 10 min read
How to Monitor OpenAI Agents SDK in Production (2026 Guide)
Monitor OpenAI Agents SDK in production with Zespan: agentic traces, multi-agent handoff spans, cost alerts, and ZespanPilot. Auto-instrumented, no config.
· 8 min read
LangSmith Alternatives in 2026: Observability Tools for Teams Beyond LangChain
Evaluating LangSmith alternatives for AI agent observability? We compare Zespan, Langfuse, Helicone, and Braintrust on features, pricing, and multi-framework support.
· 10 min read
LangSmith vs Langfuse vs Zespan: Which Agent Observability Tool Is Right for You?
A direct comparison of LangSmith, Langfuse, and Zespan for AI agent observability in 2026. Features, pricing, setup time, and which tool wins for production agent teams.
· 8 min read
How to Monitor LangChain Agents in Production (2026 Guide)
Monitor LangChain agents in production with Zespan: agentic traces, delegation spans, cost alerts, and ZespanPilot. One callback handler to start.
· 8 min read
What is AI Agent Observability? A Practical Guide for Engineering Teams
AI agent observability is not LLM monitoring. This guide explains the difference, what agent observability actually covers, and what to look for in a tool.