The Production Gap

Multi-Agent Prompt Injection: Closing the Subagent-to-Orchestrator Trust Boundary Before It Closes You

Multi-agent prompt injection turns subagent returns into attack vectors. Learn how to lock down trust boundaries, typed outputs, and stop privilege escalation.

The Production Gap

Air-Gapped Coding Agents: Benchmark Data, Hardware Reality, and Why Harness Choice Matters More Than Model Quality

Air-gapped coding agents now rival cloud models—if your harness is right. Get benchmark data, hardware sizing tips, and on-prem deployment insights here.

The Production Gap

Agent Experience Design (AX): A Product Manager's Framework for Building Products AI Agents Can Actually Use

Agent experience design helps PMs build AI-ready products. Learn tool schemas, agent auth, and MCP server patterns your team can ship today.

The Production Gap

AI Content Watermarking Is Now Default: What Output Provenance Actually Means for Your Content Pipeline

AI content watermarking is now on by default. Learn how output provenance affects your content pipeline, disclosure duties, and audit trail compliance.

The Production Gap

Treasury's FS AI RMF Explained: How to Map Your Agentic Deployment Across 230 Control Objectives Before Examiners Do

Treasury AI risk framework maps 230 control objectives for agentic AI. Learn how to self-assess before examiners arrive—and close your third-party gaps first.

The Production Gap

Ontology-Driven AI Agents: Why a Shared Knowledge Graph Beats Thick Hand-Wired Agents in Enterprise Systems

Ontology-driven AI agents using a shared knowledge graph eliminate coordination drift and hallucinations. Learn how to build auditable enterprise AI systems.

The Production Gap

Durable Execution for AI Agents: Why Long-Running Workflows Need State Persistence, Not Just Retry Logic

Durable execution for AI agents beats retry logic every time. Learn how state persistence and workflow history keep long-running agents on track after crashes.

The Production Gap

AI Feature Adoption Is Broken: Why 54% of Workers Bypass the Tools You Shipped (and What to Do About It)

AI feature adoption is failing—54% of workers bypass your tools by choice. Learn why, fix your value prop, and turn avoidance into real, lasting engagement.

The Production Gap

AI Code Review Automation: Why Your Reviewer Model Choice Is an Architectural Decision (With Data to Prove It)

AI code review automation has a blind spot: same-model self-review shares bias. Learn how cross-model CI gates catch more bugs without slowing your pipeline.

The Production Gap

AI Customer Service Failure: Why 74% of Enterprises Are Rolling Back Their AI Agents (And How to Avoid Being Next)

AI customer service failure is surging. Learn why enterprises roll back AI agents—and the governance steps that keep your deployment off that list.

The Production Gap

Claude Code Harness Engineering: How the Agent = Model + Harness Equation Shapes Everything You Build

Claude Code harness engineering shapes agent performance more than model choice. Learn to design memory, tools, and permissions layers that actually move results.

The Production Gap

Claude Code Autonomous Agents: How the /goal Command Redefines Long-Running Task Completion

Claude Code autonomous agents now use /goal to set termination contracts upfront—learn how this replaces messy polling loops in long-running AI task completion.