Tagged: architecture

15 posts in this topic.

Google I/O 2026 Changed the AI Agent Build-vs-Buy Math: Here's How to Decide

Google's Gemini Spark and Antigravity 2.0 represent an inflection point for businesses building AI agents. Here's the decision framework for when to use off-the-shelf agents, when to build on a platform, and when custom architecture is still the only real option.

ai-agents ai-strategy google

How to Evaluate an AI Development Partner: 7 Questions That Separate Production Teams from Demo Shops

80% of AI projects fail to deliver business value, and choosing the wrong development partner is the fastest path there. Here are the 7 questions that reveal whether an AI firm builds production systems or just impressive demos.

ai-strategy ai-agents consulting

Single Agent vs. Multi-Agent AI: When More Agents Actually Help (and When They Just Cost More)

Princeton NLP found single agents match or outperform multi-agent systems on 64% of tasks. Here's the decision framework for when multi-agent orchestration is worth the complexity - and when a well-built single agent is the smarter investment.

ai-agents ai-strategy architecture

AI Agent Accountability: Why Reasoning Traces Aren't the Audit Trail You Think They Are

Reasoning models can show their thinking - but research shows up to 40% of that thinking is performative. Here's what actually constitutes an accountable AI agent architecture, and what to build before the EU AI Act deadline hits.

ai-agents ai-strategy governance

How to Scope Your First AI Pilot So It Actually Scales

73% of successful enterprise AI deployments started deliberately small. Here's the scoping framework that separates pilots that scale from expensive science projects - with research-backed criteria for what to build first, how to measure success, and when to expand.

ai-strategy ai-agents consulting

Building AI Voice Agents: WebRTC vs WebSocket - How to Choose the Right Transport

WebRTC and WebSocket both work for AI voice agents, but choosing wrong adds months of rework. Here's the architectural decision framework - with latency math, production tradeoffs, and clear recommendations for each use case.

ai-agents voice-ai architecture

How Much Autonomy Should Your AI Agent Have? A Practical Decision Framework

Not every AI agent needs full autonomy. Here's a practical framework for choosing the right autonomy level for each task - with real-world examples of what happens when you get it wrong.

ai-agents ai-strategy architecture

Adding AI to Your Mobile App: On-Device, Cloud, or Hybrid?

Your mobile app needs AI features - but should they run on the device, in the cloud, or both? Here's the decision framework covering cost, latency, privacy, and capability tradeoffs for 2026.

ai-strategy mobile-development on-device-ai

Why AI Agents Fail in Production: 5 Failure Modes and How to Prevent Them

Most AI agents work in demos but break in production. Here are the five failure patterns we see most often, why they happen, and the evaluation and infrastructure layers that prevent them.

ai-agents production reliability

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