Frequently asked questions
23 straight answers about AI, no-code, and automation — for the rest of us. Each one is pulled from a full guide on the blog, linked below.
How to Get Your Site Found — and Cited — by AI
- What is GEO and how is it different from SEO?
- SEO is about ranking in Google's list of blue links. GEO — generative engine optimization — is about being found and cited when someone asks an AI assistant like ChatGPT, Perplexity, or Claude. Same goal, new front door: you want the AI to find your content, trust it, and quote you with a link back.
- Do I need to be technical to set this up?
- No. Most of it is a few small text files and some behind-the-scenes labels on your pages. I described what I wanted and let AI do the building — my job was deciding what mattered. You can ask any capable AI assistant to add these to your site.
- What is an llms.txt file?
- Think of it as a menu written for AI — a clean, plain-text list of everything on your site, with a short description and a link for each page. It helps an answer engine quickly find the right page instead of guessing from your raw HTML.
- How do I get an AI engine to attribute content to me by name?
- Tell it who you are. Link your real profiles — LinkedIn, YouTube, GitHub, your newsletter — in your site's behind-the-scenes data so engines can recognize you as a known person and credit your work to you, not just to an anonymous page.
I moved my site's chat to Cloudflare — and let the AI build it
- Do I need to be technical to add an AI chat to my website?
- Not really anymore. The hard parts — the server, the streaming, the security wrapper — can be built by describing what you want to an AI. Your real job is the decisions: set a spending cap, lock it to your own domain, and keep it simple. The AI brings the speed; you bring the judgment.
- How do I keep an AI chatbot from running up a huge bill?
- Put limits in front of it. Use a per-person rate limit, a hard daily cap that stops all spending once it is hit, and a monthly spending limit set in your AI provider's dashboard. Those three together give you a bounded worst case instead of a surprise invoice.
- Can someone copy my chatbot and use it on their own site with my AI key?
- Not if you lock it down. Reject any request that is not coming from your own domain, and require a quick bot check (like Cloudflare Turnstile) on every message. That stops bots and stops people from lifting your widget onto their page to spend your credits.
- Do I need a vector database (RAG) for a chat that answers from my blog?
- Usually not to start. For a few hundred posts you can bundle a simple list of titles, summaries, and links and hand it to the model — it fits. Only reach for a vector database if your answers turn out too vague, and let that be a measured decision rather than a guess.
The careful way to add AI chat to your website
- How do I add a chatbot to my website without risking a huge bill?
- Use a setup that enforces a hard cost cap for you. When you hit your plan limit the chat simply stops responding instead of running up an open-ended bill. Setting that cap before you go live is the single most important step.
- Can someone copy my chat embed and use my AI on their own site?
- Not if you add a domain lock to the embed. Even if someone pastes your script tag onto their own page, it does nothing for them — the chat only works on the domains you allow.
- Do I need to be a developer to set this up safely?
- No. This careful version uses Zapier Chat, Tables, and a Zap to make your GitHub content chattable, and the two guardrails — the cost cap and the domain lock — take about ten minutes total.
Stop Copy-Pasting Reports: Let AI Handle Your Project Management Busywork
- How can I stop manually writing the same status reports every day?
- Build an automation that pulls from your project management tool and writes the reports for you — a detailed morning task list for the team, a polished weekly summary for leadership, and an end-of-day review of what is waiting. Each audience gets its own format, generated automatically.
- Do I need a separate automation for each report format?
- No. One system can produce several outputs from the same source data — the building team's detailed list, leadership's summary, and the end-of-day blocked-items report — each formatted for its audience.
- What does automating my reports actually save me?
- Hours every week of copy-paste grind, plus the mental load of reformatting the same information for different people. The reports just show up, written, formatted, and delivered.
Quick Dive: How to Use Split & Aggregate Nodes in n8n
- What do the Split and Aggregate nodes do in n8n?
- Split breaks an array or result into individual, loopable items. Aggregate combines multiple items back into a single payload you can send forward. They are the pair you reach for whenever you are working with lists of data.
- Why would I aggregate data before sending it to an AI model?
- So you call the model once instead of many times. Instead of hitting ChatGPT five separate times, aggregate the items and send them in one request — like asking it to summarize all your task items at once. It is cheaper and cleaner.
- When should I use Split versus Aggregate?
- Use Split when you need to loop over items one at a time and process each result individually. Use Aggregate when you need to bundle many items into one payload to send onward. Most real workflows use both together.
NOCODE Getting Started With N8N
- Do I need to know how to code to build automations with n8n?
- No, and that is the whole point. n8n is a no-code platform where you connect visual blocks. If you are an expert in your field but not in Python or JavaScript, you can still build the solutions you need.
- What are the basic building blocks of an n8n workflow?
- Three of them: triggers (what starts the workflow, like a new email, a sale, a form submission, or a schedule), flows (the brain that pulls and processes your data), and outputs (the action, like sending an email, posting to Slack, or updating a database).
- What can I automate with n8n as a beginner?
- Everyday repetitive work: pull data from a Google Sheet, update your CRM, manage tasks in Notion, let AI analyze information, then send a custom email or Slack message. Start with one task you are tired of doing by hand and build from there.
Coding Assistant With N8N and GitHub
- How can I get automated help reviewing my pull requests?
- Trigger an n8n workflow from a GitHub pull request that opens issues on that PR — catching the things you forget, like SEO or row-level security, and even running browser-based QA before you merge.
- What kinds of checks can this PR workflow run?
- Whatever you build as tools. The post includes a security workflow and an SEO workflow as examples, plus browser-use QA. Each one is a building block you can mix into the main workflow.
- Do I have to build this from scratch?
- No. There is a shared Gist with the main workflow and the example tools for security and SEO, so you can start from a working template and adapt it to your repo.