AI Mentor That Absorbs 100+ Hours Content Using No-Code Tools

Introduction: The AI Coach I Wanted My Whole Life

I’ll be honest with you—when I started my journey into self-development, marketing, and entrepreneurship, I spent a small fortune seeking advice from so-called gurus. My coaching bill ran up to twenty grand before I realised most of what I received was a cleverly packaged remix of material you’ll stumble upon for free online. At some point, it dawned on me: *Why not build a mentor that soaks up the wisdom I choose, never tires of my questions, and doesn’t invoice me for every hour?*

As someone who used to devour up to 100 hours of podcasts, YouTube videos, blogs, and ebooks every month, I knew there was something inefficient about simply consuming content. Scattered notes, half-remembered ideas, endless rewinding in Youtube clips—you know the drill. So, I set out to build a personalised AI mentor that learns for me and, honestly, answers my questions in seconds.

In the end, it turns out you can build this *AI system for less than $1 a month*, using clever no-code tools and freely available automation services. If you’ve always wanted a mentor who never sleeps, never gets bored, and never tries to upsell you on a luxury retreat, you’re in the right place.

What Is the AI Mentor System?

The idea is simple but powerful. Imagine having a personal expert that can:

• Ingest YouTube videos, podcasts, blog posts, ebooks, and PDFs from ANY field—business, fitness, psychology, relationships, you name it.
• Extract all the crucial transcripts and insights, storing them in an ever-expanding digital memory.
• Answer your most pressing questions based exclusively on this expertly curated content, 24/7, with zero hidden fees.

I’ve built this for myself, now I’m sharing with you. Whether you want guidance on pricing strategies, YouTube channel growth, gym pitfalls, or the intricacies of growing an agency, it’s right at your fingertips.

The Average Person Spends 100 Hours Monthly on Content

Just think: the typical adult spends roughly 15–25 hours every week consuming educational and motivational resources. I certainly fit that bracket—sometimes even more, especially during those coffee-fuelled research sprees. Now, let your AI system soak up that information on your behalf.

I know what you might be thinking: “Wouldn’t it be amazing if all those hours translated into real clarity and decisive action, rather than a haze of half-remembered quotes?” With this approach, that’s exactly what happens.

How Does the AI Mentor Work?

The mechanics of this system might sound straight from a sci-fi movie, but it’s refreshingly straightforward. Here’s the gist:

• You submit dozens (even hundreds) of links to podcasts, YouTube videos, blogs, and PDF documents via a simple online form.
• The AI automatically extracts all the written content—transcripts, articles, notes—then stores these in its long-term digital memory, thanks to vector database magic.
• When you type a question, the AI searches all this personal knowledge and brings you a clear answer derived exclusively from your training material. No fluff, no off-topic guesswork, just hard-won insights from your chosen sources.

Want a mentor who knows YouTube analytics down to the last metric, or someone to filter out the gym bro-science and serve up what actually works for beginners? With just a few tweaks, you create exactly the type of mentor you need—business, dating, fitness, language learning, whatever your heart desires.

For fellow creators and coaches reading this: you can even train the AI solely on your own content and let your audience get answers to their questions—day or night—without you having to reply personally again and again.

Building the System Step-by-Step: No-Code Simplicity

I still remember how overwhelming it felt when I first stepped into automation. But trust me, times have changed. With no-code platforms, you don’t need to know a single line of programming to get going. Below, I’ll walk you through every stage—all done using intuitive drag-and-drop tools available online.

Step 1: Setting Up Your Automation Platform

I kicked off with a no-code automation platform known as n8n (pronounced “n-eight-n”). It’s as friendly as they come, honestly. Here’s how you can jump in:

• Head over to n8n.io and sign up for a free account.
• Once inside, select “Create Workflow” to start building your process.

You’ll split your system into two highly interlinked workflows:

• Training Workflow: Where you submit all the content—YouTube, blog articles, and more.
• AI Mentor Workflow: The actual chat interface where you ask questions and receive expert answers, instantly.

Step 2: Creating the Content Submission Form

First, I added a “form” node inside my workflow.

• Right-click and search for “Form on New Form Event.”
• Name it something clear, such as “Train on YouTube Video or Article.”
• Add a text area input. Label it “Enter YouTube videos and blog articles.”

Now, any time you come across a gem—a video explaining how a fortune was built, a blog dissecting agency pricing, or a free eBook filled with timeless wisdom—you simply paste the link into your form. There’s no upper limit; as many resources as you like, all in one place.

Step 3: Splitting and Identifying Each Content Type

Here’s where the magic really kicks in. Each pasted link must be treated individually, so the AI can handle it properly:

• Add a „Code” node with a simple JavaScript function to split your batch of links into single entries.
• Duplicate the node to create an Identifier function. Here, the code sorts each link by type—YouTube video or blog article, using pattern recognition (like spotting „youtube.com”).

That means your workflow can now route YouTube links one way (for transcript extraction) and blog links another (for webpage scraping).

Step 4: Extracting YouTube Video Transcripts

You’ll extract transcripts from YouTube videos using a dedicated tool (YouTube Transcript Scraper), which has a pretty generous free plan—covering up to 350 videos a month.

• Create an HTTP Request node named “Get Video Data.”
• Set the method to GET, plug in the API endpoint, and pass the video_id and platform as query parameters (so it knows which video to fetch).
• Include your API key in the headers.

Once done, the tool returns clean transcripts—way more helpful than endlessly rewatching videos or, worse, typing notes like a court stenographer.

Step 5: Cleaning Up the Extracted Text

Transcripts from YouTube often come with time stamps and other clutter. To fix this:

• Add another “Code” node with a quick script to strip out time signatures and leave only the content.
• Run the cleaned transcript through an “Edit Fields” node, and store it as a uniform value—say, under the label “markdown.”

That way, everything—whether it’s a YouTube video or a web article—gets stored in the same readable, searchable structure.

Step 6: Extracting Content from Web Articles

For blogs and articles, I used a handy no-code tool, FireCrawl. It’s as simple as creating a free account (allowing ~500 articles monthly at no cost) and connecting it via another HTTP node.

• Point your node to FireCrawl, use POST, add your API key for authorisation, and pass the article URL in the JSON body.
• Map the scraped article text to the same “markdown” field, keeping your data structure neat and standardised.

The tool takes care of messy formatting and gives you just the content you need—no unnecessary distractions.

Step 7: Building the Knowledge Database with Vector Storage

Now you want somewhere rock-solid to stash all this carefully extracted wisdom. Enter vector databases. I picked Superbase’s lightweight, low-cost solution:

• Register and create a new Superbase project—something like “KnowledgeBase.”
• Set up tables by pasting simple, prewritten SQL scripts into the web dashboard. One table stores all your text “chunks”—broken-down sections of your videos and articles.
• Integrate with n8n using Data API credentials and a service key.

With everything in place, your AI will be able to fetch relevant bits of wisdom, almost like thumbing through a meticulously indexed personal library.

Step 8: Integrating OpenAI Embeddings for Lightning-Fast Search

This is where things get clever. By converting your training data into embeddings—numerical vectors that represent meaning—the AI can swiftly search for the best answers. Here’s how I did it:

• Grab an API key from your OpenAI account dashboard (it’s straightforward and inexpensive; even a couple of pounds will last you ages).
• Plug this key into your Superbase integration.
• Use a recursive character text splitter (chunk overlap ~200) to break content into manageable, semantically meaningful blocks for storage.

Now, when you ask a question, the AI finds the most pertinent chunks in milliseconds.

Step 9: Getting Notified When Training Completes

No one wants to sit staring at a loading bar. So, I added a cheerful touch:

• Set up a Gmail node in your workflow—connect your email and trigger a message once all content has been processed and stored.
• Enable “Execute Only Once” so you don’t get spammed if you upload dozens of files at once.

These small automations really help make the system hassle-free, especially as you scale.

Building the AI Mentor Chatbot: Your Personal Expert on Tap

So, your content is securely stored and ready for action—what about the conversation interface?
Let’s walk through the process of building your AI mentor chatbot to receive, process, and respond to questions in real time.

Creating a Public Chatbot

• Add a “Chat Trigger” to your workflow, make it publicly available, and connect an “AI Agent” node.
• Add clear system instructions—for example: “You must always answer based on what you retrieve from the trained knowledge base. Don’t make up information, and always search first.”
• Choose your chat model: for most users, OpenAI’s “GPT-4o Mini” balances price and power brilliantly.
• Add basic conversational memory with a “Simple Memory” node, remembering the last few interactions to keep the chat context-aware.

Connecting with Your Knowledge Base

Now, let’s let the AI pull info from your treasure trove:

• Plug in the Superbase “Retrieve Documents” tool and link it to your “knowledge_chunks” table.
• Configure how many results (10-15 is a sweet spot) to return per query.
• Set summarising and context fields to keep the chat focused and relevant.
• Connect embeddings so that the search is fast, smart, and always on target.

Test Drive: Real-World Scenarios

You’re now ready to try it out. Want to know how a celebrity built their wealth? Just ask. Curious about what top creators recommend for business growth? Fire away. My own tests included:

• “What advice does Tom Cruise give about making money?”
• “What does Dan Koe say about not needing to pick a niche?”

The AI searched through my YouTube and blog training material, surfacing relevant, source-backed answers in seconds—no time wasted digging for an old bookmark.

Web App Interface: Take It with You

Let’s be real: while chatbots inside automation platforms are handy, a slick web interface makes things even nicer. If you want premium comfort, you can grab a ready-made web app template (available in some pro plans) that lets you chat with your AI mentor from your phone or desktop browser.

With everything set, you merely:

• Open your “training” form to submit new videos, blogs, podcasts, or PDFs.
• Trigger content processing if it isn’t running in real time.
• Enjoy instant, tailored answers wherever you are.

I often find myself firing off questions to my AI mentor while waiting for coffee at Pret or brainstorming ideas on the train—talk about multi-tasking, eh?

Cost Breakdown: Pennies for a Genius Mentor

But how much does all this convenience bite into your budget? Here’s where this approach really shines.

Training the System

• YouTube Videos (with Youtube Transcript Scraper): First 350 videos per month are free; after that, it’s literal pennies.
• Blogs/Articles (with FireCrawl): 500 free articles monthly; subsequent usage is about $0.01 for 500 processed pages.
• Podcasts: Audio transcription is slightly pricier, but for ten shows it’s around $0.75, for a hundred, $7.50—so about the cost of a sandwich lunch for a month’s worth of content.
• PDF Extraction: Free, provided by the automation platform itself. Only storage fees apply, e.g., $0.04 for 1000 PDFs.
• Storage (Superbase): Incredibly cheap; most users won’t break a sweat even with intensive use.

Using the AI Mentor (Asking Questions)

• Ten replies: less than $0.02.
• A hundred replies: ~ $0.17.
• A thousand monthly questions: about $1.70!

On my end, I rarely break even a dollar per month, unless I’m really indulging in back-to-back research and long coaching-style interviews. I love bargains, and this puts just about every overpriced coaching subscription I ever bought to shame.

Unlocking Advanced Features

The foundation above will get most people very far. But if you want to push things further:

• Train your mentor on podcasts and spoken word (requires transcription, but it’s effortless and affordable)
• Import PDFs in bulk, with no added extraction cost
• Enjoy a tailored web interface (great if you’re making this available to clients or your audience)
• Pick from growing library of pre-made workflow templates to fast-track your build

I’ve personally loaded up content in all sorts of languages, for all sorts of purposes. My Spanish is, well, still “charmingly intermediate,” but it’s catching up thanks to the mentorship of my AI tutor, trained on top language coaches and podcasts.

5 Practical Use Cases You Can Try Today

I can already imagine you sketching up new ways to use this AI system. Here are some of the clever things people (including yours truly) are doing:

• Personal Coach: Aggregate all your favourite productivity experts, and let the AI suggest routines, summarise timeless advice, and help you debug your own procrastination blocks.
• Creator Assistant: Feed in your best blog posts, YouTube content, and FAQs—customers can get instant support without you ever lifting a finger.
• Fitness Trainer: Train it on nutrition science, workout best practices, and rehab advice. Skip the conflicting advice and get consistent, expert-backed recommendations at the gym.
• Agency SOP Vault: Store your agency’s templates, policies, and process docs; your team can get precise instructions, instantly, no matter who’s on shift.
• Language Buddy: Collect transcripts from top podcasts, e-books, and language courses—then ask the AI to explain grammar, correct your mistakes, or quiz you on vocabulary.

Of course, you can blend these or invent something completely new.

Tips and Tricks from My Own Journey

A few lessons and confessions from the school of hard knocks (I made the mistakes so you don’t have to):

• Be Choosy About Training Sources. Quality beats quantity! Ten absolutely brilliant resources will always outclass a hundred random seminar replays. I’ve found my AI became genuinely insightful only after I pruned away hours of waffle from my training set.
• Refresh and Update Regularly. New trends emerge overnight these days. I update my content monthly, giving my AI a steady diet of new insights. The process is painless—a couple of clicks, and you’re off to the races.
• Create Several Mentors. Why stop at one? I run multiple AI mentors, each laser-focused: business, fitness, relationships. That way, answers remain sharp and on-topic.
• Experiment with Prompts and Names. Sometimes a little British wit in the system instructions makes the responses more fun, especially after a long week. Don’t be afraid to give your mentor a name, or even a personality twist!

Now, I admit: my AI “coach” never reminds me to drink enough tea or to take a stroll along the Thames. But it does give me actionable, grounded advice, with infinitely more patience than any human coach could muster.

FAQs: Everything You’re Wondering

• Can I build this without any coding knowledge? Absolutely—everything here uses no-code tools. If you can copy, paste, and click, you’re already qualified.
• What if I want to train my mentor on new content? Just use your content submission form, paste new links, and retrain. It’s quick and non-technical.
• Is my data safe? All the services mentioned have robust privacy policies. I always recommend creating separate accounts for projects like this.
• How do I keep costs ultra-low? Stick to free tiers, update monthly, and only “push the boat out” on paid options if you’re getting real value. I’ve paid less than the cost of a single oat flat white at my local for whole months of usage.

Conclusion: The Age of Personalised AI Mentorship Has Arrived

Let’s face it, traditional coaching is—at best—inconvenient and, at worst, a wallet-draining affair. With even basic no-code tools, you can build your dream mentor that absorbs thousands of hours of insight, stores it all safely, and is ready to answer your next big question in seconds. No waiting, no burnout, no platinum “insider’s retreat” spam.

I don’t miss the days of endless Zoom calls and generic motivational platitudes. Now, I’m in charge of what I learn, *when* I learn, and how I integrate it into my work or life.

If you’re itching to build, here’s how to get started:

• Create your free accounts with the recommended no-code and automation tools.
• Follow the workflow steps above (or nab a ready-to-go template, if you like saving time).
• Feed in your favourite learning materials and give the AI mentor a few questions to test its mettle.
• Tweak, refine, and—above all—enjoy the liberation of knowledge with none of the faff.

And if you’re keen to see more guides like this—where we take the “out of reach” and make it “dead easy”—make sure to follow along. As for me, well—I’m off to ask my AI mentor how to finally keep my houseplants alive. One can hope, right?

Here’s to a smarter, more affordable way of getting ahead—one question at a time!