@.h21_j21: ومن شدت حبي له احببت كل شيء يخصه اهله وعالمه ومدينته وكل شيئ ينتمي لحمزه اللهم اجمعني معه على اهون الاسباب 🥹🤍🤍🌸.#اللهم_اجمعني_مع_من_احب_بالحلال_يارب🤲 #ربي_لاتذرني_فردا_وانت_خير_الوارثين #اللهم_لك_الحمد_ولك_الشكر

أجرٌ لي ولِمَن أُحِبّ ♥️.

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Wednesday 05 November 2025 17:04:16 GMT

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Comments

ikram :

نحب حمزة

2026-08-25 03:16:03

2

Cé lįã🫶♥ :

ربي يحفظك

2026-03-05 15:15:00

2

ℋ𝒵➴ :

انا حمزه

2026-10-14 19:33:13

0

⚡🐅Hamzeh :

هاذه لي 🤗

2026-10-15 14:34:25

0

القرآن الكريم راحه نفسيه 😔😔 :

انا حمزة وي عايز كتكوته

2026-09-01 17:02:02

0

حمزة الكليزي⛎ :

ياعمرييي🥹🫂

2026-05-12 13:05:44

0

♛ 𝓗𝓪𝓶𝔃𝓪 ♛ :

@خير الدين 😊

2026-04-30 00:26:25

3

𝐻𝐴𝑀𝑍𝐴//الديري :

‍ 🥲

2026-05-07 21:41:38

2

حمزة ڨرمة :

🥺💔

2026-04-27 08:33:41

2

Basmala Muhammad :

👑

2026-02-08 13:26:38

3

ااثݛݛ 𓏺 حـݪـبيـههۃة ١.🥷🏻 :

@Hamza🕷️🦅

2026-02-26 15:15:32

2

حمزا عبدالرحيم :

🥰🥰🥰

2026-01-18 14:07:28

2

الحانوتى💀❤️Judy. and :

😊😊😊

2026-09-30 07:17:25

0

Hamza :

💗💗

2026-06-24 17:30:43

0

𝓙𝓪𝓷𝓪🎀 :

@El Mistikawy 🤫🤫

2026-07-27 11:44:59

0

ⓗⓐⓜⓩⓐ ⓢⓐⓑⓐⓗⓐ :

😳

2026-09-06 22:24:07

1

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I pointed the crawler at my own prompts instead of the web. There are 195 prompts, and each one is treated as a decision point rather than plain text. Every prompt is evaluated through a structured set of questions: - Is it relevant? - Is it grounded? - Is it ambiguous? - Does it require approval? Each evaluation produces a probability score. The routing logic is intentionally deterministic—it has no opinions of its own. - p ≥ 0.95 → route directly into the execution/code path without invoking an LLM. - p < 0.95 → escalate to Claude Sonnet 5.5, the only model responsible for reasoning. - Anything that appears to require human approval is automatically handed off to me. In one execution: - 168 of 175 prompt decisions were resolved automatically. - 133 terminated within deterministic if branches. - 24 were escalated to Sonnet. - 11 ultimately required human approval. One interesting observation: the token

I pointed the crawler at my own prompts instead of the web. There are 195 prompts, and each one is treated as a decision point rather than plain text. Every prompt is evaluated through a structured set of questions: - Is it relevant? - Is it grounded? - Is it ambiguous? - Does it require approval? Each evaluation produces a probability score. The routing logic is intentionally deterministic—it has no opinions of its own. - p ≥ 0.95 → route directly into the execution/code path without invoking an LLM. - p < 0.95 → escalate to Claude Sonnet 5.5, the only model responsible for reasoning. - Anything that appears to require human approval is automatically handed off to me. In one execution: - 168 of 175 prompt decisions were resolved automatically. - 133 terminated within deterministic if branches. - 24 were escalated to Sonnet. - 11 ultimately required human approval. One interesting observation: the token "ask" received an approval-confidence score of 0.544. Since the system lacked sufficient confidence, it deferred the decision instead of hallucinating. The average confidence across the entire run was 0.925. Everyone is crawling the web for additional context. The real context has been sitting inside the prompt all along—it just hasn't been interpreted correctly. #xuhuong #AI

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