@katetalbertmua: We have to let go of the the stripe of contour. It’s not doing us any favors.🫣 @Hung Vanngo Beauty Tantour @ILIA Beauty Blending Brush #contourandhighlight #makeupover40 #contourtutorial #makeuptips #contourmakeup

Kate

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Thursday 08 October 2026 01:13:40 GMT

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Comments

jenny_369 :

There are no hallows when I breathe in 😭

2026-10-08 02:53:50

20

Katrina Chapman :

Love this

2026-10-08 04:01:12

0

user4010970329195 :

Great advice. I will try that

2026-10-08 02:21:43

3

annette :

Please never delete this

2026-10-08 02:34:55

2

Kingdom Beauty :

Such a good tip!

2026-10-08 01:50:26

1

mk :

Game changer! I just realized I totally do the stripe 😂

2026-10-08 03:00:21

0

meow :

What is you have high-ishhh cheek bones but your crease is down really far? Also have a weak chin And very little space between that area and jaw lol

2026-10-08 03:29:25

0

Natalia :

I use stains and no foundation. I barely wear makeup. I wonder if it will still look good. Thanks for the tip

2026-10-08 02:53:14

0

Emo Roma🌹🛸 :

Love the hung Vanngo tantour also his brush is amazing!!

2026-10-08 03:08:34

0

amandabristlegoodwin :

1. Did you forget to put mascara on one of your eyes? 😂 2. I like the other side better on you. I felt it looked more sculpted than the left.

2026-10-08 03:26:22

0

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#fyp

Your Airflow DAG failed at 2:00 AM. Does an engineer need to wake up first? 🚨 This is Graph Engineering in production: Airflow alert → incident router → specialist agents → shared evidence → safe retry → verified recovery ✅ Instead of one AI agent guessing everything, a crew investigates in parallel: 🟢 Log Agent checks errors and stack traces 🔵 Data Agent validates upstream dependencies 🟡 Infra Agent checks memory, CPU and infrastructure 🟣 Change Agent reviews recent deployments Their findings are stored in a shared incident state containing evidence, hypotheses and retry history. Then comes the critical decision: Is the failure transient—and is the task safe to retry? ✅ Yes → rerun only the failed task 🛑 No → pause and escalate to the human on-call But a successful retry is not enough. The system verifies that the task passed, downstream dependencies are healthy and the DAG is green before closing the incident. That is the difference between blind automation and trustworthy agentic operations: ❌ Retry everything ❌ Let one agent improvise ❌ Close after a command succeeds ✅ Route by failure type ✅ Preserve shared incident state ✅ Use bounded retries ✅ Escalate uncertainty ✅ Close only after verification The future of on-call isn’t “AI replaces engineers.” It’s AI handling repetitive diagnosis and safe recovery while humans control ambiguous, high-risk decisions. 🧠 Would you trust this system with your next Airflow failure? 👇 Follow @hackproduct for practical AI engineering, data engineering and system design. #Airflow #DataEngineering #AIEngineering #AIAgents #AgenticAI

Your Airflow DAG failed at 2:00 AM. Does an engineer need to wake up first? 🚨 This is Graph Engineering in production: Airflow alert → incident router → specialist agents → shared evidence → safe retry → verified recovery ✅ Instead of one AI agent guessing everything, a crew investigates in parallel: 🟢 Log Agent checks errors and stack traces 🔵 Data Agent validates upstream dependencies 🟡 Infra Agent checks memory, CPU and infrastructure 🟣 Change Agent reviews recent deployments Their findings are stored in a shared incident state containing evidence, hypotheses and retry history. Then comes the critical decision: Is the failure transient—and is the task safe to retry? ✅ Yes → rerun only the failed task 🛑 No → pause and escalate to the human on-call But a successful retry is not enough. The system verifies that the task passed, downstream dependencies are healthy and the DAG is green before closing the incident. That is the difference between blind automation and trustworthy agentic operations: ❌ Retry everything ❌ Let one agent improvise ❌ Close after a command succeeds ✅ Route by failure type ✅ Preserve shared incident state ✅ Use bounded retries ✅ Escalate uncertainty ✅ Close only after verification The future of on-call isn’t “AI replaces engineers.” It’s AI handling repetitive diagnosis and safe recovery while humans control ambiguous, high-risk decisions. 🧠 Would you trust this system with your next Airflow failure? 👇 Follow @hackproduct for practical AI engineering, data engineering and system design. #Airflow #DataEngineering #AIEngineering #AIAgents #AgenticAI

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