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Flow - 4x faster than typing
🎤 Dictation
Prompt evaluation
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Aniket Amdekar🙏 2 karmaFeb 17, 2026@LLMWiseWhat a tool! Really well designed and thought of. Loved the comparison option. PS: The chatbot is too complicated .. please simplify
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This tool finally helps me understand what makes a great prompt. It doesn't just give me a better version, it shows me to get there by analyzing why the original prompt is weak and showing what to improve. The difference this makes to the final AI output is incredible. An essential tool for getting more accurate and detailed results, Great Job!
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Excellent tool. Especially their chrome extension and context feature that makes it so I never need to repeat myself when jumping between LLMs. It upgrades my prompts instantly right inside any LLM chat tool. Super worth the monthly sub, unlimited prompt generation and unlimited prompt saving AND unlimited contexts.
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Flow - 4x faster than typing🎤 Dictation
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Interesting tool - I still need to experiment a bit but I really liked it. This is what I was looking for when it comes to strengthening my SEO for large language models. It's a bit pricy though.
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The leading generative media models on fal combined with top-earning real-world creative talent on Contra is a powerful combination. Feedback to fuel the future of creative ai.
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This is the best AI Search Optimization / GEO Tool. Let me know if you've any questions.
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pretty good for quick visuals. output’s clean and it follows prompts better than i expected, not bad at all.
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Great way to improve you prompting skills through daily exercises. This should be implemented in schools, would really help students. Can also see it being really valuable for adults. Not just for prompting, but for articulation in general. Also made a video about it: https://www.youtube.com/watch?v=A8ZRJgLCFy8
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I tried this and found it kind of disappointing. It’s expensive to pay maybe $4 or $5 just for the prompt. It didn’t feel worth it to me. But it was still helpful for getting some design ideas and playing around with the free ones
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Played around with this a bit — the benchmarking and evaluation side feels especially useful for teams testing multiple models at scale.
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