Epium | London

How to Tell If an AI Tool Is Worth Paying For

Don’t fall for the $999 AI tools being pushed by Instagram bros and TikTok grifters: If it’s just a glorified ChatGPT call in a shiny box, you’re being upsold on laziness. Real value comes from integration, automation at scale, and actual technical depth. Not viral bullshit.

(Hint: If You Found It on TikTok, It Probably Isn’t.)

There’s an entire sub-economy forming on TikTok and Instagram, built around selling $999/month “AI tools” that are nothing more than glorified Make.com flows with a GPT API call glued on. A bit of webhook sugar, a splash of Canva branding, and suddenly it’s being marketed as “enterprise AI automation for busy professionals.” Spoiler: it’s not. It’s usually something a half-decent dev could build in two hours for free, and it’s being peddled to people who don’t know better.

If you’re about to swipe your card for one of these, slow down. Let’s break it down.

Here’s how to spot a tool that’s all sizzle, no steak. If it just sends your text to ChatGPT and spits back an answer with slightly nicer formatting, that’s not a product. It’s a prompt. If it’s clearly built on Zapier or Make, and the workflow is “new email → call GPT → send response,” you’re paying a monthly fee to avoid dragging boxes in a UI. If the tool has no real logic – no dynamic context, no chaining, no validation, no fallback handling – then it’s just a wrapper, and you’re the sucker.

And if all the “testimonials” are from influencers with identical thumbnails and generic claims like “this tool changed my business,” walk away. You’re being sold on lifestyle, not functionality.

Now, what’s actually worth paying for?

If the tool saves you hours at real scale (hundreds of actions per day), sure. If it integrates tightly with your internal systems – not just Google Sheets and Notion, but your CRM, billing, inventory, whatever – then you’re buying infrastructure, not convenience. If it handles errors, supports multi-step chaining, or works in real-time with structured output? That’s leverage, not fluff. And if it lets your team do complex things without needing to know how to build prompts or manage APIs, then it’s adding real value.

Here’s the acid test. Ask yourself:

  1. Could I rebuild 80% of this in Make, n8n, or Google Sheets?
  2. Is the “AI” doing anything besides rewriting text?
  3. Would I even look at this tool twice if it didn’t say “powered by GPT”?

If the answer to any of those is “yes,” then you’re not buying tech. You’re paying for someone’s rent while they film content about how they “automated a car dealership and now make $40K/month in passive income.”

The AI hype machine is full of wrappers. You don’t need wrappers. You need results.

Spend your money like someone who understands how tools work. Not like someone hypnotized by a 30-second Reel with a Lambo in the background.

Christian Holmgreen is the Founder of Epium and holds a Master’s in Computer Science with a focus on AI.

AI Grifters

Latest Blog Posts

AGI Won’t Explode – It’ll Crawl (And We’ll Still Have Time to Pull the Plug)

September 12, 2025

The Hollywood fantasy says AGI will wake up, rewrite itself in seconds, and take over the world. Reality says no. Training frontier models takes months, costs millions, and burns megawatts. Compute, math, and bandwidth don’t vanish because a script demands it.

AGI won’t explode – it’ll crawl. The real threat isn’t machines escaping, it’s humans rushing to give them power before they’re ready.

RAG Decay: Why Your Knowledge Bot Gets Dumber Every Week

August 14, 2025

Retrieval-Augmented Generation (RAG) can make your AI sound like it knows your business inside-out – until it quietly rots. This post explains what RAG really is, why it decays into stale, bloated answers, and the unglamorous maintenance work that keeps it sharp and trustworthy.

AI in eCommerce: A Revolution or Just Another Overhyped Buzzword?

July 14, 2025

AI is often seen as the cure-all for ecommerce problems, from customer service to inventory management. But AI is just a tool, not a magic bullet. While it can automate tasks and improve efficiency, it won’t fix a flawed business model or poor strategy. AI is most useful for optimization, like inventory sorting or personalizing customer experiences. Using it just to follow trends or avoid the hard work, like keyword research, is a waste. The real value of AI comes when it solves specific problems, not when it’s used for everything. If used correctly, AI can revolutionize parts of your business; otherwise, it’s just another overhyped tool.

Hallucination Nation AI

June 20, 2025

Most people use AI wrong, expecting brilliance from nothing and getting polished nonsense in return. Here’s the hard truth: AI’s great at summaries and rewrites, but leave it alone with a blank page and it’ll invent facts, companies, even your next Nobel Prize. Learn how to make AI useful, or enjoy your trip through hallucination nation.