AI assistants often ask irrelevant questions when users are making key decisions, causing frustration and wasted time. DeciGuide analyzes intent and conversation context to surface only the prompts that matter, keeping decision-making focused and efficient.
Quantitative Score Breakdown
complaint frequency
1.5
growth rate
9
competition density
10.5
monetization potential
9
technical feasibility
7.5
search interest
4.8
Evidence Signal (1)
Raw Complaint Log
hn • r/hackernews
Comment on: Why does Opus 5 feel worse to work with?
It's not necessarily anthropomorphizing, but simply anchoring. CC learns quickly "this is a session where the user wants to make key decisions". Alas, it is not very good at identifying what constitutes a "key decision", so it keeps asking about all kinds of useless stuff.For that reason I exit session quickly when I can. It used to be that the context of a session is very valuable, because it was so hard to get CC there, but now, this isn't the case anymore, so I only hold onto sessions when there is really hairy stuff that I know would be hard to replicate.I think the whole notion of full au
Recommended execution roadmap for "DeciGuide: Decision-Focused Prompt Engine"
1
Analyze Complaint Signals
Examine the 1 harvested raw posts to map specific feature complaints, workflow workarounds, and user friction points.
2
Scope Core MVP
Build a minimalist solution focused exclusively on solving "AI assistants often ask irrelevant questions when users are making key decisions, causing frustration and wast..." without feature bloat.
3
Engage Early Adopters
Directly engage users in subreddits and developer forums who expressed frustration to offer early access beta invites.
AI assistants often ask irrelevant questions when users are making key decisions, causing frustration and wasted time. DeciGuide analyzes intent and conversation context to surface only the prompts that matter, keeping decision-making focused and efficient.
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