# Articles

Articles on Analog are the long-form reading worth your time — in-depth guides, tutorials, playbooks, and startup resources for building with AI. From hands-on how-tos and concept explainers to field reports from people shipping with agents and resources for AI founders, these are the pieces that actually teach. Browse the community's picks, ranked for signal over noise, and filter to guides, playbooks, or startup resources.

This topic gathers the in-depth writing on building with AI: step-by-step tutorials, architecture and concept explainers, repeatable playbooks from practitioners, and the tools, templates, and reading that help founders build an AI startup. Unlike a quick blog post, these are the references you bookmark and come back to — the ones that change how you work rather than just informing you.

Authorship spans the community — individual engineers, teams, vendors, and founders — and quality, not source, is what earns a place here. Use the filters to narrow to guides, playbooks, or startup resources, and follow each entry's link to read it where the author published it. Startup resources pair well with the credits and discounts on the Deals page. Upvotes surface the pieces people recommend to others.

## Frequently asked questions

### What's in the Articles topic?

Long-form reading for building with AI: guides and tutorials, concept explainers, practitioner playbooks, and startup resources for founders. Use the Guides, Playbooks, and Startup filters to narrow the list to what you need.

### Who writes these articles?

They're authored across the community — individual practitioners, teams, vendors, and founders. Analog curates for quality and accuracy and links to the original source rather than republishing it.

### What's the difference between a guide and a playbook?

A guide teaches a concept or walks through a how-to; a playbook is a repeatable process you run — the steps, prompts, and checks that reliably get a job done. Both live here, each under its own filter.

### Where can I find startup credits and discounts?

On Analog's Deals page, which lists verified cloud and AI credits, discounts, and perks for builders — with the eligibility spelled out. Many pair well with the startup resources in this topic.

### Are the articles free to read?

Most are freely readable. Follow each entry's link to the source for the full piece; a few may sit behind a sign-up or paywall, which we note where we can.

### How are articles ranked on Analog?

By community upvotes, one per account, with new additions under the New tab. Every article is human-reviewed before it appears.

## Entries (ranked)

- [How to make Claude time-travel and tell you how your plan dies](https://analoghq.ai/itsolelehmann/articles/claude-pre-mortem-skill) by itsolelehmann: How to turn Claude into a structured adversary by assuming your plan already failed, and a ready-to-upload skill that automates the pre-mortem for any decision.
- [I Searched the Whole Claude Skills Ecosystem - These Are the Ones That Matter](https://analoghq.ai/polydao/articles/claude-skills-ecosystem-ones-that-matter) by polydao: A curated breakdown of the Claude skills ecosystem, what skills are, how they work, and the handful worth installing first.
- [a color system that disappears](https://analoghq.ai/msllrs/articles/a-color-system-that-disappears) by msllrs: Explores the cultural fade of color in products alongside nanoscale methods that make material color disappear through structural interference.
- [Loops explained: Claude, GPT, Mira and what actually works](https://analoghq.ai/anatolikopadze/articles/loops-explained-claude-gpt-mira) by anatolikopadze: A viral breakdown of AI agent loops, how Claude, ChatGPT, and Mira implement Plan-Execute-Verify cycles and when to actually build one.
- [Why Your Claude Skill Sits Unused (And How to Make It Fire)](https://analoghq.ai/nurijanian/articles/build-once-reuse-forever-make-claude-follow-your) by nurijanian: A Claude skill is a folder of instructions that teaches Claude your team's way of doing a recurring task. Most are easy to build but quietly fail because Claude never reaches for them or the output is wrong. This guide shows you the few habits and the one testing loop that fix that.
- [The Orchestration Tax](https://analoghq.ai/addyosmani/articles/the-orchestration-tax) by addyosmani: Addy Osmani's essay on why more AI agents don't mean more shipped work, and how to architect your attention like a concurrent system.
- [Building recursive agent systems](https://analoghq.ai/leerob/articles/building-recursive-agent-systems) by leerob: Research synthesis covering two 2025 papers on recursive multi-agent systems: RecursiveMAS and RAH, for developers building agentic pipelines.
- [How to Actually Use Claude. 18 steps that unlock 100% of its potential](https://analoghq.ai/anatolikopadze/articles/how-to-actually-use-claude) by anatolikopadze: An 18-step practical guide to unlocking Claude's full capability through Projects, Custom Instructions, and a personal knowledge base.
- [You're doing RAG wrong](https://analoghq.ai/akshay-pachaar/articles/youre-doing-rag-wrong) by akshay-pachaar: A technical argument for replacing text chunks with structured QA packets in RAG pipelines, for ML engineers and data architects building production retrieval systems.
- [Frontend Guidelines](https://analoghq.ai/bendc/articles/frontend-guidelines) by bendc: A concise, opinionated HTML/CSS/JS style reference for developers who want clear rules over framework churn, illustrated with bad/good code pairs throughout.

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