15:I[981,["658","static/chunks/658-a698693f56d0116a.js","183","static/chunks/183-6beeeb801c274aaa.js","474","static/chunks/app/%5Btype%5D/layout-631c4730b83c8223.js"],"Posts"] 16:T4b9,I keep hearing that prototyping is “solved” now — just use Cursor, Claude, Lovable, etc.

But when I talk to people inside real organizations (healthcare, regulated industries, even large non-tech companies), I keep seeing the opposite:

There’s no shortage of ideas. There’s a constant backlog of things people want to test — new workflows, internal tools, patient-facing flows, decision support UIs.

The bottleneck isn’t creativity. It’s: – internal IT teams focused on maintenance – engineers already overloaded – AI tools that still require time, context, and ownership – agencies/freelancers that are too slow or heavyweight for “just a prototype”

My hot take: AI didn’t eliminate the prototyping problem — it shifted it to the people who have the least time to deal with it.

Curious how this matches your experience: – Do you actually prototype continuously, or is it mostly one-off? – Have AI tools fully replaced the need for external help for you? – If you could get realistic prototypes in days (not months), how often would you use that?

Genuinely trying to understand whether I’m seeing a real pattern — or just a biased slice of the world.17:T6ed,Hi HN

Memovee is an agentic movie database that lets you explore movies using natural language instead of filters or rigid queries.

You can ask things like:

- “Movies that take place in someone’s mind”

- “Top mystery films on Netflix released in the last 5 years”

- “Slow-burn sci-fi movies with strong world-building”

Under the hood, this isn’t just an LLM wrapper. Memovee uses a structured movie database and an agent layer that translates natural-language intent into deterministic queries and aggregations, then reflects on the results before responding.

The agent implementation used by Memovee is open source:

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