production AI agent patterns
Vanaxity insights tagged production AI agent patterns - notes on AI content, SEO, GEO and AEO from Van Data Team.
No-Code AI Agents: A Marketer's Playbook
No-code AI agents let marketing, growth, RevOps, and sales-ops leaders turn manual, repetitive work into governed workflows without waiting for engineers.
Realtime Voice Agents and Proposed Native Tools
Realtime voice agents that need to look up live information or calculate an answer mid-call have required teams to route tool requests through custom proxies that pause and resume the audio connection, adding latency, brittle state handling, and governance
Claude Opus 5 on Google Cloud: Adoption Guide
Claude Opus 5 is now available on Google Cloud's Agent Platform for engineering, platform, and growth teams building production AI agents.
AI Agent Optimization: From Asking to Doing
For marketing, growth, SEO, and RevOps leaders, optimizing only to appear in AI answers creates a new gap: your brand gets cited when users ask, then skipped when they delegate the task and the agent selects another tool.
GPT-5.6 Price Cuts: AI Agent Routing and FinOps Guide
The GPT-5.6 price cuts lower Luna API pricing by 80% and Terra by 20%, while adding a paid Fast mode for Sol. For founders, RevOps leaders, and platform or agent teams, this eases runaway agent costs but doesn't automatically fix slow, expensive inference.
Kimi K3 on AWS: The Self-Hosting Blueprint for AI Agents
If you run AI agents on a hosted API, three pains compound quietly: unpredictable token cost, vendor lock-in, and prompts leaving your VPC.
Claude Opus 5 vs GPT-5.6 Sol for AI Agents
For B2B marketing, RevOps, and engineering teams, the Claude Opus 5 vs GPT-5.6 Sol decision is not which model wins overall, but which should run novel-reasoning, agentic-coding, software-engineering, and health-adjacent workflows—and when output cost
Google ATLAS AI Study: Collaborator, Not Automator
B2B marketing, RevOps, and content teams evaluating autonomous agents face a specific decision: whether to redesign work for hands-off automation when Google’s ATLAS data shows workplace AI is used mainly as a collaborator.
Agentic Loops in Marketing: What Microsoft's C++ Demo Teaches
Marketing and RevOps teams cannot safely deploy autonomous agents until they can define the equivalent of a passing C++ build: a trustworthy signal that tells the agent whether a campaign or outbound sequence worked, failed, or must stop.
Salesforce Agentforce Commerce: The GEO Playbook for AI Shopping
Salesforce Agentforce Commerce now lets retailers connect product catalogs directly to ChatGPT, while Google Search, including AI Mode, and the Gemini app remain scheduled for later this summer, according to Salesforce's June 24, 2026 release announcement.
The Scaling and Institutionalization of Autonomous Marketing Agents: Governance as the Enterprise Unlock
The scaling and institutionalization of autonomous marketing agents is the shift from one-off prompt experiments to agentic AI that runs marketing work as a permanent operating function - and governance, not raw model capability, is now the enterprise unlock.
XstraStar G-Power Framework: Standardizing AI Search Visibility Metrics for GEO and AEO
XstraStar G-Power Framework: Standardizing AI Search Visibility Metrics For GEO And AEO breaks down when source systems are scattered, reviews stay manual, handoffs are unclear, and risk is hard to prove. This guide is for operators who need a practical map, w