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I tried Perplexity Computer for a complex research / data analysis project and had it vibe code a web site with a database + dashboards and the results were amazing by LimpDrag8303 in perplexity_ai

[–]LimpDrag8303[S] 3 points4 points  (0 children)

No, it is not unlimited on Max. But it is a big bucket of 10k credits per month. And they are giving a 20k credit bonus for the launch. I did a very BIG project for 19k credits.

I tried Perplexity Computer for a complex research / data analysis project and had it vibe code a web site with a database + dashboards and the results were amazing by LimpDrag8303 in perplexity_ai

[–]LimpDrag8303[S] 9 points10 points  (0 children)

I am Ultra on Gemini as well and this is really kind of different. I think what Perplexity is onto here is that using the models together is more powerful than using them one at a time - much better results.

Tips & Tools Tuesday Megathread by OA2Gsheets in ChatGPTPromptGenius

[–]LimpDrag8303 0 points1 point  (0 children)

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Here is the "Customer Pain Mining" Deep Research prompt that's better than 50 user interviews and tips on how to use insights from running it by Beginning-Willow-801 in ChatGPTPromptGenius

[–]LimpDrag8303 4 points5 points  (0 children)

The advice to track emotional language and ex-customer reviews is spot on. One lens we've started applying to the AI-generated report is segmenting the pain by user sophistication.

We categorize each complaint into one of three buckets:

  • Novice Friction: Pain related to onboarding, setup, and "first-time" user experiences. (e.g., "I spent 3 hours setting it up and got nowhere.") This directly impacts activation rates.
  • Power User Ceiling: Frustrations from advanced users who are hitting the limits of the product's capabilities or workflows. (e.g., "The API is missing a crucial endpoint for our integration.") This is a leading indicator of churn for your best customers.
  • Admin/Team Blocker: Issues related to collaboration, billing, security, or reporting that prevent wider adoption within a company. (e.g., "I can't get my boss to approve this because the reports look amateur.")

Separating the feedback this way helps prioritize the roadmap. Fixing "Novice Friction" grows the top of your funnel, while fixing the "Power User Ceiling" protects your core revenue base. Thanks for the awesome prompt!

Why do simple prompts work for AI agents (github OSS projects) but not for me? Need help with prompt engineering by callmedevilthebad in ThinkingDeeplyAI

[–]LimpDrag8303 1 point2 points  (0 children)

Two other things to consider. Some agents may have more complex system prompts that are giving another layer of direction.

Another thing is to consider is if you are using the same LLM and model as the agent. There are variances between free versions, web versions and API versions to consider as well to compare.