From Trace to Production Fix: An End-to-End Observability Workflow for Agents
A real workflow: user complaint → LangSmith trace → reproduce in dataset → fix → ship → re-eval. Principal-engineer notes, real numbers, honest tradeoffs.
13 min read
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AI Voice Agent Insights & Guides
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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LangGraph State-Machine Architecture: A Principal-Engineer Deep Dive (2026)
How LangGraph's StateGraph, channels, and reducers actually work — with a working multi-step agent, eval hooks at every node, and the patterns that survive production.
13 min read
Building Reasoning Agents with GPT-5 and o3 in 2026: When to Reach for the Big Brain
When reasoning models actually help inside an agent loop — and when they're an expensive mistake. Architecture patterns, code, and the cost/quality tradeoffs that matter.
13 min read
Voice Agent Quality Metrics in 2026: WER, Latency, Grounding, and the Ones Most Teams Miss
The full metric set for evaluating production voice agents — STT word error rate, end-to-end latency budgets, RAG grounding, prosody, and the metrics that actually correlate with retention.
13 min read
Cost-Aware Agent Evaluation: Putting Token Spend, Latency, and Quality on the Same Dashboard
Eval scores alone mislead. Here is how we build a Pareto view across cost, latency, and quality so agent releases ship on signal, not vibes.
12 min read
Tool Selection Accuracy: The Eval Most Teams Skip — and Should Not (2026)
Your agent picked the wrong tool 12% of the time and the final answer was still right. That's a latent bug. Here's the eval pipeline that surfaces it.
13 min read
Regression Testing for AI Agents: Catching Silent Breakage Before Users Do
Non-deterministic agents break silently when prompts, models, or tools change. Build a regression pipeline with frozen datasets, semantic diffing, and gate thresholds.
13 min read
Code-Writing Agents in 2026: Execution-Based Evaluation Beats Everything Else
Why LLM-as-judge is the wrong tool for code agents — and how to build an execution-based eval pipeline that actually catches broken code.
13 min read
Anthropic Mythos: The Cybersecurity Model Behind Firefox's Vulnerability Sweep
Anthropic's restricted Mythos model is reshaping vuln discovery. Inside the Mozilla Firefox case, what it means for AppSec, and where voice AI fits.
7 min read
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