AEO for Real Estate: How to Get Your Area Guides Cited by AI Search
An agent's playbook for showing up when buyers ask ChatGPT and Perplexity where to move — neighborhood guides, market and school questions, freshness, and the local authority that gets you named.
AI Agent Frameworks Compared
Framework or roll your own? An honest comparison of LangChain, LlamaIndex, CrewAI, and provider SDKs against a plain API loop — on control, lock-in, debuggability, state, and production-readiness.
AI Prompts for Insurance Agents: The Ones That Actually Win Business
Copy-and-paste AI prompts for the real work of selling and servicing policies, including five most agents never think to try — translating a dense policy into plain words, rehearsing a claim-denial call, pre-empting objections.
AI Prompts for Real Estate Agents: The Ones That Actually Save You Time
Copy-and-paste AI prompts for the real work of selling homes, including five most agents have never thought to try — rehearsing a lowball negotiation, reading your listing as a skeptical buyer, drafting the price-too-high talk.
AI Prompts for Travel Agents: The Ones That Actually Close the Trip
Copy-and-paste AI prompts for the real work of selling travel, including five most agents never think to try, like drafting a day-by-day itinerary from a vague wish list and scripting the budget-reality talk.
MCP / Model Context Protocol Explained for Builders
MCP is a standard wire protocol for connecting models to tools, data, and prompts — so you stop writing a bespoke integration for every app and every source.
AI Coding Assistants Compared: Autocomplete vs Chat vs Agent
Three shapes of AI dev tool — inline autocomplete, chat-in-editor, and autonomous coding agents — compared by control, speed, trust, and best-fit work.
Building AI Agents That Actually Work
An agent is a loop: model, tools, memory, and a stopping condition. Here's how to build one that finishes the job instead of spiraling.
Building With AI: Frequently Asked Questions
Practical answers for builders: model choice, RAG vs fine-tuning, agents, hallucinations, evals, cost, latency, and getting started with an LLM.
Chatbot vs Agent vs Copilot: Which AI Feature to Build
Three AI product patterns, three different risk profiles. A clear guide to which one to build and when each actually fits.
Single Prompt vs Agent vs Workflow: Choosing the Right Shape
The three shapes of LLM apps — one call, an agent loop, a deterministic workflow. How they compare and how to pick the simplest one that works.