Here’s the wild part:
I subscribed to ChatGPT Pro normally, then checked the subscription settings, opened the cancellation flow just to see the options, and got offered the next month free.
So it ended up being:
Month 1 = paid
Month 2 = free
Definitely did not expect that 😂
I accidentally found a way to get 2 months of @ChatGPTapp Pro for the price of 1.
No coupon.
No referral.
No sketchy workaround.
Just something unexpected inside the subscription flow.
How it happened and how you can do it too👇
אני דיי בטוח שמי שמתחיל פרויקט תוכנה חדש היום ולא משתמש בRust הולך להפסיד. לכתוב תוכנה לא עולה בזמן יותר, אז אין הצדקה להסתפק בביצועים גרועים יותר שנותנות שפות אחרות.
I’m building an app in the travel space and recently used GitHub Copilot Agent + Claude Opus to bootstrap a dataset (~500 places in Copenhagen: cafes, restaurants, sights, etc).
What I found while testing was… unexpected 🧵
I’m building an app in the travel space and recently used GitHub Copilot Agent + Claude Opus to bootstrap a dataset (~500 places in Copenhagen: cafes, restaurants, sights, etc).
What I found while testing was… unexpected 🧵
I’m building an app in the travel space and recently used GitHub Copilot Agent + Claude Opus to bootstrap a dataset (~500 places in Copenhagen: cafes, restaurants, sights, etc).
What I found while testing was… unexpected 🧵
I’m building an app in the travel space and recently used GitHub Copilot Agent + Claude Opus to bootstrap a dataset (~500 places in Copenhagen: cafes, restaurants, sights, etc).
What I found while testing was… unexpected 🧵
Takeaway for anyone building agentic systems:
If reality matters:
✅ Require external sources
✅ Use geocoding APIs
✅ Demand citations
✅ Validate coordinates
✅ Add sanity checks
Never trust generated location data by default.
I’m building an app in the travel space and recently used GitHub Copilot Agent + Claude Opus to bootstrap a dataset (~500 places in Copenhagen: cafes, restaurants, sights, etc).
What I found while testing was… unexpected 🧵
My working theory:
The agent interpreted this as data synthesis, not data retrieval.
Instead of “get real Copenhagen places,” it effectively did:
“generate objects that resemble Copenhagen places.”
Small semantic gap. Huge consequences.