@etay.official: Food for thought #foryou #fyp

E-TAY 🧍🏽‍♂️
E-TAY 🧍🏽‍♂️
Open In TikTok:
Region: CA
Thursday 26 February 2026 21:46:45 GMT
1263
71
9
10

Music

Download

Comments

zeick23
ZK3🇯🇲 :
Tag him pussy you won’t 🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣
2026-02-27 20:12:37
3
cincooee
Cincoe :
Hmmmm
2026-02-27 17:13:13
1
tewnmaclean
Tewn :
If man's goes after my ex ... unless you ask me, don't talk to me ever again
2026-03-03 01:12:34
2
mizzkaysha
Kaysha :
😂😂😂😂
2026-03-11 21:42:26
1
sexilexi________
ig: alexuswongg :
They do this to see if they’re on ur level. Chances r they look up to u, r secretely envious of u, or u trigger their insecurities. So they think “if I can pull his ex, I must be equally as good as he is / I’m on his level” (it’s an ego thing for sure). I would have girls constantly go for my exes or people I was interested in pursuing; And it’s like girl, if I never had him or wanted him, u would have never tried to get with him at all. And I agree with u, I would NEVER go for a friends’ ex. That’s just off limits.
2026-03-03 05:22:29
1
sailingtodasun
sailingtodasun :
Villains indeed
2026-03-07 01:09:45
1
To see more videos from user @etay.official, please go to the Tikwm homepage.

Other Videos

🤖 Everyone's building agents. Almost nobody can tell you where the
🤖 Everyone's building agents. Almost nobody can tell you where the "agent" actually lives. Here's the split that made it click for me 👇 🟢 HARNESSING — everything you wrap around the model: 📄 System prompt → the role + your brand voice 🧠 Memory → past posts and what actually worked 🔧 Tools → LinkedIn API, analytics, scheduler 🔍 Retrieval → your best hooks + audience data That's the scaffolding. It's static. It's what the model has. 🟠 LOOP ENGINEERING — how it keeps going: 📝 Plan → ✍️ Draft → 📤 Post → 📊 Measure → 🔁 repeat Then one question: goal met? No → run it again. Yes → ship. That's the part that turns a chatbot into an agent. It's dynamic. It's what the model does. ⚡ Most people over-invest in harnessing (endless prompt tweaking 😅) and completely skip the loop. So they get a very well-dressed model that answers once and stops. And the magic is where they meet — that teal arrow at the bottom. Results flow back into memory, so every cycle starts smarter than the last. 🔄 I built this as a growth agent because that's the job I actually want automated: plan the angle, draft the post, schedule it, measure it, learn, repeat. 📈 Once you see this split, you stop asking "what's the best prompt?" and start asking "what's my loop, and when does it stop?" — which is exactly the question that separates people who use AI from people who engineer it. 🚀 Save this before your next agent build. 🔖 What should the loop optimize next — 📈 reach or 💬 replies? Tell me below 👇 . . . #HackProduct #AIagents #AIengineering #LLM #agenticAI

About