Everyone’s shouting that AI will either save you or replace you.
But panic doesn’t build progress. Systems do.
I started ConfigurAI to give you clarity, not noise.
Each week, I test the tools, cut through the confusion, and show you what actually works.
If you read ConfigurAI weekly, you’ll stay ahead of 90% of professionals still guessing, and save hours doing it.
AI isn’t a threat or a miracle. It’s a system.
And when you understand the system, you stop reacting and start designing.
I’ve built these systems inside real businesses that went from chaos to calm in weeks, proof that clarity compounds faster than hype.
Here’s what we’re exploring this week:
The Godfather of AI just quit his day job, and what it says about depth vs speed.
OpenAI’s move into health: why trust is the next skill that matters.
Tool of the week: Gumloop, automate your market research in minutes.
How to stop ChatGPT from making things up.
Prompt of the week: Turn AI into your fact-checking partner.
The goal isn’t to keep up; it’s to build systems that make you impossible to replace.
Let’s think smarter, not louder.
AI Intel: The Godfather of AI Just Quit His Day Job
Imagine creating the brain behind ChatGPT, then walking away because it still isn’t thinking deeply enough.
What happened:
Yann LeCun, Meta’s Chief AI Scientist (and one of the three “Godfathers of AI”), has announced he’s leaving to start his own company focused on “world models”, AI that doesn’t just chat, but actually understands how the world works. Think less spreadsheet assistant, more curious toddler trying to figure out gravity.
Why it matters:
LeCun’s exit isn’t just another tech headline. It signals a growing split inside AI itself, between speed and depth. Big tech wants to release products faster; the scientists who built the foundations want machines that truly reason. In other words, while the world races to ship smarter chatbots, the people who invented them are quietly saying, “You’re teaching it to talk before it can think.”
What to do by Friday:
Stop assuming AI progress is a straight line. Even the smartest minds disagree on what “intelligence” means.
Build systems that can adapt. Tools will change faster than your to-do list. Don’t get attached, get portable.
When your AI gives a weird answer, don’t roll your eyes. Train it better. Even its creator is still trying to.
AI Intel: OpenAI’s Next Experiment? Making Sense of Your Blood Tests
What happened:
OpenAI, the company behind ChatGPT, is now turning its attention to healthcare.
Not to replace doctors, but to build AI tools that help people understand their own health, things like translating blood test results, summarising doctors’ notes, or helping you track patterns in your wellbeing.
Why it matters:
This marks a shift in what AI wants to be.
It’s moving from helping you write faster… to helping you think smarter about the things that actually matter.
If AI can safely handle health, where one wrong answer could cost lives, it means the era of trust-based AI has begun.
And soon, that same standard will touch your world too: how you manage finances, communicate with clients, and make decisions.
What to do by Friday:
Pick one task in your work where accuracy really matters. Reports, quotes, projections, something you’d never want to get wrong.
Ask your AI to handle it, then score it, 1 to 10, for accuracy and clarity.
Use that score to train it better next time. Because this is what the next phase of AI is really about, not speed, but reliability.
The future isn’t AI everywhere.
It’s AI that earns your trust.
Tool of the Week: Gumloop — Automate Your Market Research (No Coding Needed)
What it does (in simple terms):
Gumloop helps you automate research tasks that usually take hours.
It connects AI with data-collection steps, so you can gather and summarise insights from Reddit, Google, YouTube, or other sites automatically.
Think of it as your research assistant that runs 24/7 and turns messy online chatter into organised, usable insights.

15-20-minute setup
Go to gumloop.com (browser-based; no install).
Create a free account (you get limited credits to start).
Browse the Templates Library and pick Market Research or Reddit Insights.
Enter your topic or keywords (e.g. AI tools for accountants, marketing software for coaches).
Click Run Loop. Gumloop will collect recent discussions, articles, and sentiment data.
Review or edit the flow if you want more sources, then export to Google Sheets or Notion for analysis.
(Note: first-time setup may take 20–30 minutes as you learn how the “nodes” work. After that, each run is automatic.)
Use it this week
Validate an idea: See what people actually say about it online before you build.
Understand your audience: Pull real questions and frustrations from forums, videos, or reviews.
Find content angles: Scan what’s trending in your niche and turn top complaints into posts, products, or offers.
Time saved:
2–3 hours per research task once set up.
After the first loop, you’ll have a repeatable system that runs market research in the background while you focus on higher-value work.
Reader Q&A: How do I stop ChatGPT from hallucinating or making things up?
The problem:
Sometimes ChatGPT gives confident answers that are completely wrong. It’s not trying to lie; it’s predicting text, not facts, but when you’re using it for business or research, that’s a problem.
The fix:
Add a truth anchor.
Start your prompt with:
“Use only verifiable sources or your training knowledge. If unsure, say ‘I don’t know.’”
This forces ChatGPT to slow down and think.Feed it context, not assumptions.
Give it the relevant data or source material before asking the question. Example: paste your document or article link, then say:
“Summarise only what’s written above, no outside info.”Ask for reasoning.
Follow up with:
“Explain how you arrived at that answer in one sentence.”
If the reasoning doesn’t sound logical, the answer probably isn’t either.Cross-check critical facts.
Use Google or a trusted database to verify anything that sounds too perfect or oddly specific.Bottom line:
ChatGPT doesn’t hallucinate because it’s broken; it hallucinates because it’s guessing.
Your job is to teach it how to think slower, not faster.
Tooling for Trust: Building Your Seatbelt for the AI Era
It’s not hackers that worry me most.
It’s good people, smart, careful people, pasting client data into an AI tool because they just needed something done faster.
AI risk isn’t about headlines. It’s about inputs, what we feed the machine, knowingly or not.
And in this new world, you’re only as safe as your rules.
That’s why I built the AI Risk & Policy Toolkit, not to make anyone paranoid, but to give every business something they’ve never had before: a seatbelt for the AI era.
It doesn’t turn you into a compliance lawyer. It helps you stay confident while your team experiments, creates, and automates.
Inside, you’ll find:
Leak Mapping Worksheet – to spot where your data quietly slips into third-party tools.
Tool Vetting Checklist – five questions to test whether an AI tool deserves your trust.
AI Policy Templates – clear, editable rules you can drop straight into your team handbook.
Quarterly Review Sheet – a simple ritual to stay proactive instead of reactive.
The moment you write it down, panic turns into process.
That’s the point. You protect your business before you ever need protection.
If this sparked something in you, come say hello on LinkedIn; that’s where I share the deeper lessons, tools, and systems behind ConfigurAI.
For the human side, the messy experiments, reflections, and moments that shape the work, you’ll find that on Instagram.
And if you want to see how it all connects, the business, the story, the mission, it’s all at orgesameli.com
Because what we’re building here isn’t just about AI.
It’s about making technology feel human again
Thanks for reading,
See you next Wednesday with more ways to cut the busywork and get your time back.
Orgesa Meli
P.S. It would mean a lot if you forward this to someone who’d benefit. I’m building a community of people who want to work smarter with AI, not just a list of names. Subscribe to my community here.



