# Writing: AI

Canonical: https://gaboesquivel.com/blog/category/ai

Writing on AI systems, agents, retrieval, multimodal interfaces, and the engineering work around them.

- [Generative Interfaces](https://gaboesquivel.com/blog/2026-10-generative-interfaces): User intent can drive how software is composed and distributed, from declarative UI specs and MCP Apps in assistants to design systems machines can reason about at runtime.
- [Agentic Domain-Driven Design](https://gaboesquivel.com/blog/2026-10-domain-driven-design): Shared domain language helps teams and coding agents preserve business meaning, define clear boundaries, and avoid implementing the wrong assumptions.
- [Iteration Velocity](https://gaboesquivel.com/blog/2026-10-iteration-velocity): Previews, gradual rollouts, and small migrations shorten the path from an idea to evidence that it improves the product.
- [Context Engineering](https://gaboesquivel.com/blog/2026-09-context-engineering): An agent harness orchestrates memory, tools, skills, and retrieved information so models receive the right context at the right moment.
- [Product Engineering](https://gaboesquivel.com/blog/2026-09-product-engineering): Product engineering connects user needs, design, implementation, and production. Coding agents make end-to-end ownership more valuable.
- [AI Coding Factories](https://gaboesquivel.com/blog/2026-09-ai-code-factories): A reliable AI coding factory coordinates tasks, isolated execution, verification, and production feedback into a repeatable delivery process.
- [AI Agents are Infrastructure](https://gaboesquivel.com/blog/2026-05-ai-agents): Running agents in production means managing tools, state, permissions, and recovery—not just choosing a capable language model.
- [The Forward Deployed Engineer](https://gaboesquivel.com/blog/2026-04-forward-deployed-engineer): Forward deployed engineers work with customers to turn AI into production systems, bridging product engineering, integrations, and adoption.
- [Engineering in the AI Era](https://gaboesquivel.com/blog/2026-02-engineering-ai-era): As coding agents take over more implementation, an engineer's time moves to constraints, review, and deciding what should exist.
- [Agentic Commerce](https://gaboesquivel.com/blog/2026-01-agentic-commerce): Google's Universal Commerce Protocol, with A2A, AP2, and x402 around it, moves checkout into AI surfaces and makes shopping a workflow agents can execute.
- [Evolution of AI UX](https://gaboesquivel.com/blog/2026-01-evolution-ai-ux): AI interfaces are moving from prompts and answers to agents that hold intent, run workflows, and deliver outcomes, which makes visibility and control the core of the UX.
- [Why I'm Bullish on 2026](https://gaboesquivel.com/blog/2025-11-bullish-2026): Why I expect AI agents, stablecoins, wallet signing, and tokenized markets to converge in products over the coming year.
- [Intersection of AI and Web3 (Part 2)](https://gaboesquivel.com/blog/2025-11-web3-and-ai): How agentic finance, stablecoin payment rails, and decentralized AI infrastructure are starting to connect in real products.
- [Agentic Finance](https://gaboesquivel.com/blog/2025-09-agentic-finance): How AP2, x402, and agentic commerce protocols could let AI agents authorize payments and settle transactions with stablecoins.
- [Prompt Injection](https://gaboesquivel.com/blog/2025-06-prompt-injection): How direct, indirect, and tool-response prompt injection hijack LLM behavior, and the layered defenses I use in AI applications that call tools.
- [AI Model Context Protocol (MCP)](https://gaboesquivel.com/blog/2025-05-model-context-protocol): What the Model Context Protocol standardizes about connecting models to tools and data, and how I structure MCP-style tools, composition, and memory in TypeScript.
- [RAG with TypeScript](https://gaboesquivel.com/blog/2025-05-typescript-rag): How retrieval-augmented generation works, and how to implement it with TypeScript SDKs, embeddings, and vector stores.
- [The Intersection of AI and Web3](https://gaboesquivel.com/blog/2024-07-ai-and-web3): A July 2024 snapshot of shared infrastructure between AI and Web3: compute, identity, data, and open networks.