😵‍💫🔥 That 2013 research paper that may have been ahead of its time 😲

📖 This paper was published in 2013, long before ChatGPT, Claude, or AI agents appeared.

However, Nicolas was already pursuing an idea back then—an idea that closely resembles how modern AI works today.

👉 People rarely fail due to lack of ability.
👉 They fail because they don’t know where to start.

If a system can break down complex goals into small, manageable tasks, learn from the experiences of many people, and reuse plans that have already proven successful, then the chances of achieving that goal will increase dramatically.

This is what TaskGenies demonstrated in its research.

☕ Imagine you want to open a coffee shop.

❓ You don’t know where to start.
😵 Almost immediately, you feel overwhelmed.

➡️ That’s why many people give up before they even begin.

📌 Traditional approach

👉 You try to come up with everything yourself.

• Where should I rent a venue?
• Where can I buy an espresso machine?
• How do I apply for a business license?

⏳ Days pass, and you still haven’t taken the first step.

💡 Nicolas’ approach

The system just says:

💬 “Don’t think about the whole coffee shop.”

➡️ Just take it step by step.

For example:

✅ Step one: choose a name.
✅ Step two: find a location.
✅ Step three: list the equipment.
✅ Step four: find suppliers.
✅ Step five: register the company.

🙂 Suddenly, you realize:

💬 “Oh… it’s not as hard as I thought.”

That’s the core idea behind TaskGenies.

🤔 But who came up with these steps?

👉 That’s the most interesting part.

Nicolas didn’t sit down and write every plan himself.

Instead, he had hundreds of people contribute ideas.

👤 Person A has opened a coffee shop.
👤 Person B has opened a bakery.
👤 Person C has run an online business.

Everyone contributed some ideas.

🔄 The system then selects the best ones, and combines them into a complete process.

It’s like saying:

💬 “One person can’t know everything, but when many people contribute together, the result becomes more complete.”

🚀 There’s something smarter here too.

Suppose tomorrow someone asks:

💬 “I want to open a bubble tea shop.”

The system won’t start from scratch.

Instead, it thinks:

💬 “This is very similar to opening a coffee shop.”

➡️ It will reuse 80–90% of existing plans, only modifying the parts that are different.

Just like today’s ChatGPT doesn’t reinvent the wheel every time you ask a question—it responds faster and more effectively by building on existing knowledge and proven patterns.

💡 This is one of the biggest reasons modern AI is so powerful.

It won’t simply say:

💬 “Good luck.”

AI will say:

➡️ “Do the first step.”

✔️ Finish it.

➡️ “Now move on to the second step.”

Then the third step…

Then the fourth step…

Until the goal is achieved.#PiNetwork‬⁩⁦‪