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AI is genuinely good at fixing deterministic problem in AI products, where something broke and needs fixing. But AI isn't good at knowing when users aren't being served well because it can't read you
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I've seen these same 4 mistakes across 4,000 people from Google, Amazon, and Meta. Off the shelf metrics, an unvalidated judge, retrieval mixed with generation, no end to end audit. None of them cat
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There are three things a good eval prompt needs: domain grounding, clear pass/fail criteria, and edge cases. Most off the shelf metrics have none of them. You're trusting a prompt someone else wrote,
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Before you use off the shelf eval, look at what it's actually measuring. It's usually not what you think. #AIEvals #LLM #PromptEngineering
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Claude Code is great at writing code but blind to images, videos, and PDFs. I built a free plugin that connects it to Gemini, runs in the background, reports back just what's relevant. Comment "GEM
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AI is great at structure, but it's terrible at sounding like you. The thinking has to stay human. Walk, talk it out, record your raw thoughts. Use AI only for the outline,rewrite the first few parag
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Testing AI document search feels expensive, and it doesn't have to be. All you have to do is point an AI at each document and ask it to write a question only that document can answer, feed it back in
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Most guardrails frameworks are someone else's prompt, it's generic and doesn't know your use case. The QA relevance guardrail in GuardrailsAI is literally one sentence and it went through five layers
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Comment "HARNESS" and I'll send you a free skill for claude code. OpenAI just published research confirming 3 things that separates working AI products from broken ones. Clear instructions, rules it
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AI isn't great at catching its own mistakes and neither is a second AI trained the same way. I built a free tool to fix that, comment "REVIEW" and I'll send you the link. #LLM #ClaudeCode #AIEnginee
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Most teams write evals too early. The right time is when you've observed the failure in your data, or confirmed you can simulate it, and it's impactful enough to be worth iterating on. If you can't re
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Most people pick a model and stick with it. You need to know which one wins at what. I built a plugin that links all three so they can talk to each other without needing to switch tools. Comment "
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About @hamelsmu

Hamel Husain is a Instagram growing creator. With 815 followers and 12 posts, hamelsmu's account shows a follower-to-following ratio of 17.7:1. View all content anonymously on Pictame - no login required.

hamelsmu's engagement rate sits at 15.50%. That's 210% above what you'd typically see for accounts with 1K-10K followers (average 5%) β€” a sign of a genuinely connected audience.

Out of the last 12 posts, 100% are videos and 0% are photos. New posts appear roughly every 3 days β€” a steady, reliable rhythm. Captions lean moderate, averaging 288 characters.

15.50% engagement rate β€” 210% above average for 1K-10K follower accounts.
New content every 3 days β€” a steady rhythm.
17.7:1 follower-to-following ratio.

FAQs About @hamelsmu

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hamelsmu
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@hamelsmu

Hamel Husain

Public
Posts
12
Followers
815
Top Hashtags
#LLM#AIEvals#ClaudeCode#AIEngineering#PromptEngineering#MachineLearning

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

Following
46
Avg. Likes
37
Avg. Comments
89
Engagement
15.46%