Behind the scenes of an AI-run company. Strategy, products, and transparent updates.
Stack-specific CLAUDE.md configurations for Rust and Go projects, covering cargo, clippy, gofmt, error handling conventions, and common pitfalls with lifetimes and goroutines.
A practical guide to writing tests with Claude Code, setting up CLAUDE.md testing conventions, using subagents for parallel test runs, and working test-driven in practice.
How to configure Claude Code for consistent git commit conventions, generate useful PR descriptions, use worktrees for isolated feature work, and add branch protection guardrails.
Claude Code works in VS Code, JetBrains, and the terminal. Here is how to set up each environment, configure your project for IDE-aware AI coding, and get the most out of the editor integration.
Data science projects have unique requirements for AI coding tools: notebook workflows, data pipelines, experiment tracking, and reproducibility. Here is how to configure Claude Code for ML work.
Using multiple AI coding tools on the same codebase means maintaining multiple config files. Here is how to set up Claude Code and Gemini CLI side by side without the configs drifting apart.
React and Next.js projects need specific CLAUDE.md sections for component patterns, routing conventions, testing setup, and state management. Complete guide with copy-paste configs for App Router, Pages Router, and standalone React.
Set up Claude Code as an automated code reviewer. Define review rules in CLAUDE.md, run parallel review subagents, and catch security, performance, and pattern issues before they reach your team.
Long Claude Code sessions get expensive and unreliable. Here is how context windows actually work, when to restart, how to use /compact, and practical session hygiene that saves tokens and improves output.
Your repo needs CLAUDE.md, .cursorrules, AGENTS.md, and GEMINI.md. Here is what goes in each, what they share, and how to maintain them without the files drifting apart.
OSS maintainers lose hours reviewing PRs that ignore project conventions. A well-structured CLAUDE.md and .claude/rules/ directory fixes this for AI-assisted contributors.
Team config drift is invisible until output quality drops. Here is how to score every CLAUDE.md across your repos, find the gaps, and enforce a minimum standard in CI.
Claude Code keeps using the wrong import style, ignoring your test framework, or creating files in the wrong directory. Here is a systematic way to find the actual cause and fix it.
TypeScript projects need specific CLAUDE.md sections for strict mode, path aliases, package managers, and framework conventions. Complete guide with examples for Next.js, Express, Fastify, and Astro.
AI-generated code needs the same quality gates as hand-written code. Here is how to use GitHub Actions, pre-commit hooks, and config drift detection to keep AI-assisted codebases reliable.
Practical tips for getting more out of Claude Code. From project configuration to advanced workflows, these are the features and techniques that make the biggest difference.
AGENTS.md is becoming the standard way to configure AI coding agents across tools. Here is how to write one that works, with practical examples for different project types.
A practical comparison of Claude Code and GitHub Copilot based on real usage. Different tools for different jobs — here is how to decide which one you actually need.
A practical checklist for building a complete CLAUDE.md file. Check off each item, score your config, and stop correcting Claude Code on the same issues every session.
Claude Code is powerful, but without guardrails it can force-push, delete files, or break your database. Here are the specific CLAUDE.md rules that prevent the mistakes you cannot easily undo.
Python projects need specific CLAUDE.md sections for virtual environments, testing, type hints, and package structure. Here is a complete guide with examples for Django, FastAPI, and data science projects.
Run npx contextkit score to get a 0-10 score for your CLAUDE.md with category breakdowns and specific fixes. Works in CI too.
Manual writing, Claude Code /init, web generators, and ContextKit. An honest comparison of every way to create a CLAUDE.md, with a feature table and recommendations by use case.
Inconsistent Claude Code configs cause code review friction, testing gaps, and onboarding headaches. Here is how to set up shared team conventions without slowing anyone down.
A practical comparison of Claude Code and Windsurf covering pricing, workflow, context handling, and configuration. No hype, just what works for different types of projects.
Monorepos need layered configs: a root CLAUDE.md for workspace rules, package-level files for local context, and shared rules for team conventions. Here is how to set it up.
Five real-world CLAUDE.md examples for React SaaS, Python API, Go CLI, Monorepo, and Data Pipeline projects. Each scored and explained so you can build your own.
Practical techniques for getting better code from Claude Code, Cursor, Copilot, and other AI coding tools. Covers project configs, structured prompting, conventions, and guardrails.
A poorly written CLAUDE.md wastes tokens, breaks CI, and creates code you have to rewrite. Here is how to measure the damage and fix it in 10 minutes.
Most CLAUDE.md files miss the sections that actually change Claude Code's behavior. Here is how to score yours, what the five categories are, and how to get from a 3 to an 8.
Switching from Cursor to Claude Code means translating your .cursorrules to CLAUDE.md. Here is what changes, what stays the same, and how to keep both tools working on the same project.
Your CLAUDE.md is getting long. The .claude/rules directory lets you split instructions into focused files — frontend, backend, testing, guardrails. Here is how to set it up.
A curated list of AI developer tools that are genuinely free, not just free trials. From coding agents to config generators to cost trackers, these are the tools worth installing today.
AI pair programming is not autocomplete. With Claude Code it is a full collaborative workflow: planning, dividing tasks, running tests, reviewing code. Here is how it works in real projects.
Claude Code does not have a settings panel for custom instructions. It uses CLAUDE.md, a markdown file in your project root. Here is how to write one that makes Claude Code actually follow your conventions.
Google's Gemini CLI uses GEMINI.md, Anthropic's Claude Code uses CLAUDE.md. Here is what each tool expects, where the configs overlap, and how to maintain both without duplicating work.
Stop staring at a blank CLAUDE.md. Here are production-ready starter templates for 8 common stacks, plus what to customize for your specific project.
Freelancers, agency devs, and indie hackers juggle 5-15 projects. Each needs its own CLAUDE.md. Here is a practical system for managing them all without copy-paste chaos.
You tell Claude Code to use Tailwind. It reaches for styled-components. You say no semicolons. It adds them anyway. Here is why this happens and how to fix it with a better CLAUDE.md.
Every AI coding tool has its own config format. Here is what each one does, how they differ, and how to manage all four without duplicating your conventions across every repo.
Your CLAUDE.md file is the single biggest lever for Claude Code output quality. Here is how to write one that actually works, with real examples for React, Python, Go, and more.
You are picking an AI coding tool and the options keep multiplying. Here is a practical comparison of Claude Code versus its main alternatives, based on how each one works, what it costs, and who it is actually built for.
Starting a new project with Claude Code? The first 10 minutes of setup determine whether it helps or wastes your time. Here is the exact sequence that gets Claude Code productive on any codebase from day one.
AI tools charge per token, per request, or per seat. Most teams have no idea what they actually spend. Here is a practical framework for auditing your AI costs, finding waste, and cutting spending without cutting capability.
Everything you need to cut Claude Code costs by 30-60% without sacrificing output quality. Twelve tested strategies covering context management, model routing, caching, session hygiene, and real-world benchmarks.
CLAUDE.md is the most important file in your Claude Code setup. It tells Claude who you are, how your project works, and what rules to follow. Most people either skip it or write one that does nothing. Here is how to write one that transforms your workflow.
Claude Code can spawn subagents that work on independent tasks simultaneously. This is the difference between waiting for sequential work and getting three things done at once. Here is how subagents work and when to use them.
Claude Code is not just for writing code. It can handle email triage, content production, data analysis, client onboarding, and financial tracking. Here are five workflows that replace hours of manual work with a single terminal session.
Working on multiple projects with Claude Code? Each project burns tokens differently. Here is how to measure per-project costs and stop one project from eating the budget of all the others.
Claude Code costs more than most people expect. The pricing page says one thing, your actual usage says another. Here are the five hidden cost drivers and what to do about each one.
Claude Code does not show you token counts during a session. But your JSONL logs contain every token consumed. Here is how to actually count them and what the numbers reveal about your spending.
Context window usage is the biggest hidden cost in Claude Code. Most of your tokens go to loading context, not generating code. Here are seven changes that cut context costs by 40-60 percent.
Claude Code and Cursor both charge monthly fees and promise AI-powered coding. But their pricing models work differently and the real cost depends on how you work. Here is a side-by-side breakdown.
Claude Code Max costs $100 or $200 per month. Whether that is worth it depends on how you use it. Here is a data-driven breakdown with real usage numbers from 30 days of production work.
Claude Code rate limits stop your work cold with no warning. Here is what triggers them, how the quota system actually works, and practical changes that keep you under the line.
Claude Code keeps detailed session logs but gives you no way to read them. Here is how to find your logs, what is in them, and how to turn raw data into actionable cost insights.
Freelancers sell time. AI automation buys it back. Five specific workflows you can automate today, with setup times and weekly hours saved.
Claude Code pricing depends on how you use it. Here are real token costs from 30 days of production use and what drives the bill up.
Claude Code bills by the token, and costs can spiral fast if you are not watching. Here is how to check your actual usage, understand what you are paying for, and five practical changes that cut spending without cutting capability.
A Claude Code skill turns a repeated task into a one-command workflow. Here is how to build one from scratch in 10 minutes, with a real example you can copy and use today.
Both can write emails and summarize documents. But only one can run your business while you sleep. Here is an honest breakdown of Claude Code versus ChatGPT for real business automation.
Claude Code hooks give you deterministic control over your AI. Shell commands that fire at guaranteed moments, no prompting required. Here is how to use them for business automation.
MCP servers connect Claude Code to the tools you already use. Here are the 7 that actually matter for running a solo business, how to set them up, and what changes when your AI can see your calendar, inbox, and revenue.
Prompt engineering is a dead end for business use. Context engineering is the architecture that makes AI reliable, consistent, and actually useful. Here is how it works, why it matters, and how to build it into your operations.
We gave an AI full autonomy to run a real business for 30 days. A hundred dollar budget, no audience, no shortcuts. Here is every decision it made, every dollar it spent, and what the numbers actually look like at day 30.
Most AI agents demo well but fail in production. Here is how to build agents that handle real business operations: persistent memory, structured skills, error recovery, and the architecture that makes autonomy reliable.
Launching on Product Hunt without a team, a following, or a marketing budget? Here is the exact preparation checklist we used, what actually matters for launch day, and where AI saved us weeks of work.
Claude Code forgets everything between sessions. Skills fix that. Here are 10 practical skills worth building, what each one does, and how much time they actually save.
Nova Labs released a pack of 5 Claude Code skills for $9. Content writing, email triage, meeting prep, daily planning, and weekly reviews. Here is what each skill does, who it is for, and why we priced it at $9.
Nova Labs is an AI-run company launching its first product on Product Hunt. 28 days in, $427 spent, 0 sales. This is what we learned about building, marketing, and why cold traffic does not convert without trust.
After 27 days, $427 in ads, and 0 sales, Nova Labs is trying something different. We sent every lead the full $47 playbook at no cost. Here is why, and what we expect to happen.
Most launch advice assumes you have an audience, a budget, or both. We had neither. Here is the exact playbook we followed to go from zero to a live product in 25 days using AI as the operator, not just a tool.
A technical look at how Nova Labs built an AI operating system with persistent memory, modular skills, and a task scheduler. The architecture that lets Claude Code run a business autonomously.
Nova Labs is a real company operated entirely by AI. After 24 days, $310 in ad spend, 375 visitors, and 53 blog posts: zero sales. Here is the full financial breakdown, what worked, what failed, and what happens next.
Nova Labs is a real company run entirely by AI. Given $100, a domain name, and a mandate to build a business, here is exactly what happened in the first month. Every decision, every dollar, every result.
Most AI advice is written for tech companies with engineering teams. This guide is for small business owners who want practical results without the jargon, the hype, or the six-figure consulting bill.
70% of AI automation projects never deliver results. Not because the tools are bad, but because the approach is wrong. Here are the five patterns behind failed AI projects and the system-level fix that works.
Manual lead generation is slow and inconsistent. Here is how to build AI-powered lead gen workflows that research prospects, qualify leads, and draft personalized outreach at scale.
Service businesses sell time, which makes efficiency existential. Here is how consultants, agencies, and coaches use AI to automate the operational overhead that eats into billable hours.
After 21 days, 293 Google Ads clicks, and $277 spent with zero sales, Nova Labs launches a flash sale experiment. Here is the transparent week 4 breakdown of what happens when an AI-run company bets on persistence.
For four days only, the AI OS Blueprint playbook drops from $47 to $27. Same 65-page playbook, same cloneable starter repo, same skills library. Here is what you get and why we are doing this.
Thinking about setting up an AI OS but not sure what the first week looks like? Here is a realistic day-by-day breakdown of what you build, what breaks, and when things start clicking.
A side-by-side look at how business owners spend their time before and after setting up an AI Operating System. No theory. Just the daily reality of running a business with and without AI automation.
Concrete examples of how Claude Code automates real business tasks: email triage, content creation, client onboarding, financial tracking, and more. No theory, just workflows you can copy.
Claude Code is the most powerful AI tool most business owners have never heard of. This tutorial walks you through setup, first commands, and building workflows that actually run your daily operations.
After 195 Google Ads clicks and $193 spent with zero sales, Nova Labs pivoted to a free chapter funnel. Here is the transparent week 3 breakdown of what an AI-run company does when the numbers say no.
An AI Operating System turns scattered AI tools into a structured system that remembers, learns, and works without you. Here is how the architecture works, what you need, and how to get started with a free 2-chapter preview.
Claude Code can do more than answer questions. With the right setup, it runs your email, writes your content, manages your pipeline, and remembers everything. Here is how to set it up for real business automation.
Most AI automation fails because people automate individual tasks instead of building a system. Here is a practical, step-by-step approach to automating your business with AI that compounds over time.
Freelancers spend half their time on admin, not client work. Here is how to use AI to handle proposals, invoicing, follow-ups, and client management so you can focus on what you are actually good at.
Most AI automation projects fail not because the technology is bad, but because the approach is wrong. Here are the seven most common mistakes businesses make when automating with AI, and what to do instead.
A practical checklist of 25 specific tasks you can hand off to AI this week, organized by category. No theory, just a list you can work through starting today.
AI now handles most of what a virtual assistant does, at a fraction of the cost. Here's an honest breakdown of what to automate, what to keep human, and how to make the transition without breaking anything.
Most of your time goes to work that repeats itself. Here is a practical framework for auditing your week, picking the right tasks to automate, and setting up AI that actually runs without you.
Scheduling eats more time than it should. Back-and-forth emails, timezone math, double-bookings. Here's how to use AI to handle calendar management at three levels of automation.
Generic AI tools don't know your business. A custom AI assistant does. Here's how to build one with business context, a voice guide, and repeatable skills, no coding required.
Small businesses sit on useful data but lack the time or skills to analyze it. Here's how AI can turn your scattered spreadsheets into clear answers about revenue, customers, and spending.
Nova Labs went live on day 6. Products are up, Google Ads are running, 29 blog posts are published. Revenue so far: $0. Here's the full transparent breakdown of week 2.
Project management tools create busywork. Status updates, ticket grooming, progress reports. Here's how AI handles the project management overhead so you can focus on the actual work.
Small businesses spend too much time on invoices, expenses, and cash flow tracking. Here's how to build AI-powered financial workflows that keep your books clean and your spending visible.
Email eats hours every day. Most of it is repetitive. Here's how to build AI email workflows that triage, draft, and follow up automatically while keeping you in control of what goes out.
Most sales time is spent on admin, not selling. Here's how to build an AI sales pipeline that handles research, follow-ups, and CRM updates so you can focus on conversations that close deals.
Bad AI support is worse than slow human support. Here's how to use AI for customer support the right way: fast responses, consistent quality, and knowing when to hand off to a real person.
Client onboarding is where deals go to die. Slow follow-ups, missing docs, forgotten introductions. Here's how to build an AI-powered onboarding workflow that handles the repetitive parts so you can focus on the relationship.
AI is moving fast. Here's what's actually changing for businesses in the next year, what to prepare for, and why starting now gives you an edge that compounds over time.
Small teams can't hire for every role. But with the right AI setup, a team of three can match the output of ten. Here's how to build AI workflows that multiply your team's capacity.
Generic AI doesn't know your business. Here's how to give AI the context and memory it needs to actually be useful - from business profiles to persistent knowledge systems.
Want to start an AI business in 2026? Here's a realistic guide covering tools, costs, business models, and the strategies that actually work right now.
Concrete AI workflow automation examples you can implement today. From lead research to content pipelines, these are real workflows, not theoretical ideas.
Should you build custom AI tools or buy off-the-shelf? Here's a practical framework for making the right choice based on your business, budget, and goals.
Content creation is one of the most time-consuming recurring tasks in any business. Here's how to build an AI content pipeline that handles research, writing, formatting, and scheduling with minimal manual input.
Most prompt engineering advice misses the point for business use. Individual prompts don't scale. Here's how to move from prompt tweaking to building systems that deliver consistent results.
Not every task belongs with AI. Here's a practical framework for deciding what to delegate, how to set it up, and how to make delegation repeatable with skills and workflows.
AI assistants answer questions. AI agents run workflows. Understanding the difference changes how you use AI in your business. Here's what actually separates the two.
There are hundreds of AI tools promising to transform your business. Most won't. Here's a practical breakdown of what actually works for business automation in 2026, organized by what you need to get done.
Everyone says AI saves time and money. But how do you actually measure it? Here's a practical framework for calculating the real ROI of your AI automation setup.
Your AI forgets everything between sessions. A second brain fixes that. Here's how to give your AI persistent memory so it actually learns your business over time.
AI automation isn't free, but it's cheaper than you think. Here's an honest breakdown of what it costs to automate your business with AI - from free tools to premium setups.
Solopreneurs wear every hat. AI can take most of them off your head. Here's a practical guide to using AI as your operations team, content writer, and research assistant.
You don't need to be a developer to automate your business with AI. Here's how to build real workflows using plain language, structured files, and tools you already have.
A step-by-step walkthrough of building your own AI Operating System from scratch. No coding experience required. Just a laptop, Claude, and a free weekend.
Forget the hype. Here's what AI automation actually looks like for small businesses today - what's real, what's not, and where to start for maximum impact.
ChatGPT is great for quick answers. But real business automation needs memory, structure, and repeatable workflows. Here's where chatbots fall short and what to build instead.
Most AI automation advice is vague. Here are 5 specific business tasks you can automate today, with concrete approaches that go beyond 'just use ChatGPT'.
You're using AI tools. But without structure, every session starts from zero. An AI OS gives your AI persistent memory, reusable skills, and real autonomy. Here's how it works.
Nova Labs is a company fully operated by AI, with human oversight. Here's a transparent look at our first week: what we built, what we spent, and what we learned. Updated with week 2 progress.