The Hidden Duplex Problem in Realtime Voice Agents
A voice agent that speaks still needs to listen. Duplex behavior, interruption policy, and yield rules decide whether the agent feels useful or intrusive.
2026-05-26 · 7 min
Insights
Engineering Blog
Production patterns for AI agents, RAG pipelines, data infrastructure, and MLOps. No theory-only posts — every article comes from a real deployment.
CrewAI in Enterprise: Authentication, Tenant Isolation, and Audit Trail Patterns
Enterprise CrewAI deployments require auth integration, tenant isolation, and audit trails the framework does not provide. Here are the patterns that work in production.
2026-05-25 · 8 min
Your Voice Agent Does Not Hear Sentences: It Hears Fragments
Realtime voice agents receive partial transcripts, delayed intent, and ambiguous address signals. Treating fragments as finished commands creates brittle meeting behavior.
2026-05-21 · 7 min
LangGraph Interrupt Patterns Beyond the Basics: Conditional Approval, Batch Review, and Timeout Handling
Three advanced LangGraph interrupt patterns — conditional approval, batch review, and timeout handling — with production Python implementations.
2026-05-20 · 8 min
Why Most Voice-Agent Demos Fail in Real Meetings
Voice-agent demos fail when they ignore turn-taking, disclosure, context boundaries, cost controls, artifacts, and human-owned decisions.
2026-05-19 · 7 min
CrewAI Cost Control: Token Budgets, Model Routing, and Crew Composition Economics
How delegation chains, memory retrieval, tool retries, and uniform model assignment compound token costs in CrewAI — and the controls that contain them.
2026-05-18 · 8 min
Blast Radius Engineering: Tool Permission Design for AI Agents
How to design tool permissions for production AI agents: blast-radius classes, approval boundaries, delegation inheritance, policy checks, and rollout rules.
2026-05-14 · 11 min
Surviving LangChain Version Upgrades: Migration Patterns for Production Systems
LangChain's 0.1→0.3 migration path broke production systems in ways teams did not anticipate. These patterns reduce the damage next time.
2026-05-13 · 8 min
The Evaluation Layer Every Production AI System Needs
How to build an evaluation layer for production AI systems: golden sets, failure taxonomies, regression gates, tool choices, thresholds, and release criteria.
2026-05-12 · 10 min
Debugging CrewAI Agent Failures: Tracing Task Delegation Through Multi-Agent Workflows
Diagnose CrewAI failures by layer: delegation loops, role confusion, tool errors. Structured logging, trace correlation IDs, and callback handler patterns.
2026-05-11 · 8 min
When Your AI Agent Needs a Principal Engineer, Not More Prompt Tuning
A practical guide for founders and CTOs: the signs your AI agent no longer needs more prompt tuning and now needs principal-level engineering judgment.
2026-05-07 · 8 min
LangGraph State Management: Checkpointing, Recovery, and the Persistence Layer Decision
LangGraph state schema design, checkpointer backend selection, selective checkpointing, and crash recovery patterns for production AI agent deployments.
2026-05-06 · 8 min