And why your frontend will be better for it. When I started building the frontend for Second...
Second Sight's 6-stage AI workflow revealed LLMs aren't reliable—producing inconsistent JSON, timeouts, wrong outputs. Solving with tolerant parsing, typed failures, and session persistence transforms errors into recoverable states, critical for user trust in AI-driven strategic platforms.
And why your frontend will be better for it.
When I started building the frontend for Second Sight — an AI-powered strategic foresight platform — I made the same assumption most developers make the first time they integrate an LLM: I assumed the output would be consistent.
It isn't. And that assumption cost me several debugging sessions before I reframed the whole problem.
Here's what I learned.
The setup
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