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We often needed to test apps or set up small tools or MVPs quickly. But each time we had to wait for the devops team, who were busy with other works. That delay sometimes drove us crazy and caused tension.
So we built hyp.app, it allows us to install or test things like new n8n (v2), WordPress, PocketBase, or AI tools such as AnythingLLM with one click.
I keep seeing advice like use this model for the easy stuff and that one for complex problems. But it makes me wonder what really counts as a complex problem for an LLM?
For us, complex usually means lots of steps, deep reasoning, or tricky knowledge. But for AI, the definition might be different. Some things that feel easy for us can be surprisingly hard for models, while things that seem tough for us (like scanning huge datasets quickly) might be trivial for them.
