AI Insights
AI Agent Memory Architecture: A 2026 Guide
AI agent memory architecture explained: the four memory tiers, what to store, how to retrieve it, and how to test it. Read the full 2026 builder guide.
AI Insights
AI Insights
How to Red-Team an LLM App: A 7-Step Guide
How to red-team an LLM app in seven steps: threat model, automated scans, indirect injection, PyRIT, agency limits and CI regression tests. Start today.
AI Insights
AI Product Pricing Models: Seat, Usage or Outcome?
AI product pricing models compared: per-seat, usage-based and outcome-based, with a hybrid design method and an Australian lens. Read the guide first.
AI Insights
How to Build an AI Product Cost Model in 6 Steps
How to build an AI product cost model: trace one request, price tokens with caching, model real usage, add non-token costs, stress-test margin. Start now.
AI Insights
AI Deployment Options in Australia: API, VPC or Self-Host
AI deployment options for Australian builders: direct API, Bedrock, Vertex, Azure, self-hosted or hybrid. What stays onshore, what it costs. Read the guide.
AI Insights
Context Engineering for AI Agents: A How-To
Context engineering for AI agents: a practical how-to covering system prompts, tool design, retrieval, compaction and prompt caching for reliable agents.
AI Insights
AI Guardrails and Structured Outputs in 2026
AI guardrails and structured outputs in 2026: schema-enforced JSON, output validation, rail frameworks and what Australian rules require. Read the guide.
AI Insights
AI Data Pipelines for RAG: A 2026 How-To
Build an AI data pipeline for RAG that stays fresh: change detection, chunking, contextual retrieval, hybrid search and reranking. A 7-stage how-to guide.
AI Insights
Multi-Tenant AI SaaS Architecture in 2026
Multi-tenant AI SaaS architecture in 2026: isolating tenants across the vector store, prompts, cache and logs, and what Australian rules require. Read on.