Preventing AI Agent Manipulation: Designing Systems That Refuse to Deceive
Build AI agents with honesty constraints, manipulation detection, and user protection mechanisms that prevent deceptive patterns while maintaining effectiveness.
12 min read
Agentic AI & LLMs
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Agentic AI & LLMs
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
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Prisma for AI Agent APIs: Type-Safe Database Access in TypeScript
Build type-safe AI agent APIs with Prisma ORM covering schema design for conversations and messages, client generation, relational queries, transactions, and migration workflows in TypeScript.
12 min read
Privacy-Preserving AI Agents: Differential Privacy, Federated Learning, and On-Device Processing
Implement privacy-preserving techniques in AI agent systems including differential privacy for data aggregation, federated learning for distributed model training, on-device processing, and compliance with GDPR and CCPA requirements.
12 min read
Proactive Agents: AI That Initiates Conversations and Suggests Next Actions
Design proactive conversational AI agents that initiate helpful interactions at the right time, suggest relevant next actions, and respect user preferences around unsolicited outreach.
10 min read
Procedural Memory for AI Agents: Learning and Remembering How to Execute Tasks
Build procedural memory systems that let AI agents record, store, replay, and optimize multi-step task procedures, enabling skill learning and execution improvement over time.
10 min read
Production LangGraph: Deploying Stateful Agents with LangGraph Cloud
Deploy LangGraph agents to production using LangGraph Cloud with API endpoints, cron triggers, monitoring, scaling strategies, and operational best practices for stateful agent workflows.
12 min read
Production RAG Architecture: Caching, Monitoring, and Scaling Retrieval Pipelines
Learn how to take a RAG pipeline from prototype to production with response caching, embedding caching, async retrieval, horizontal scaling, monitoring, and operational best practices.
13 min read
Progressive Disclosure in Agent Interactions: Showing the Right Information at the Right Time
Implement progressive disclosure patterns in AI agent conversations to manage information overload, layer detail levels, design expand/collapse interactions, and craft effective follow-up prompts.
11 min read
Prompt Caching Strategies: Reducing Latency and Cost with Cached Prefixes
Learn how to leverage prompt caching features from OpenAI and Anthropic to dramatically reduce latency and cost by reusing cached prompt prefixes across requests.
10 min read