Labs
Labs is where we deliver insights tailored to your organization faster than our main roadmap would allow. A Labs report is built for your team specifically, leans on the newest AI capabilities, and may ship with less visual polish than the rest of Parable — because the value is in the insight, not the chrome. Results may evolve as the underlying models improve; that’s intentional — we’re moving with the frontier, not chasing it. Once a Labs capability proves itself across several organizations, it graduates to Preview.
How to read Labs results: directional.
How to read Labs results: directional.
Preview
Preview is where we put features we’re confident in, but haven’t yet seen at full scale across every organization. The most common reason: the AI models from Google, OpenAI, and Anthropic that underpin classification update on their own schedule, and the methods we layer on top learn your organization over time. That means Preview results can shift slightly week-to-week — within a margin of error, rarely enough to flip a decision you’d make from them. When we’ve seen consistent results across enough organizations for long enough, a Preview feature graduates to Platform.
How to read Preview results: decision-ready with an honest caveat. We’ll tell you when the methodology under a Preview feature changes.
How to read Preview results: decision-ready with an honest caveat. We’ll tell you when the methodology under a Preview feature changes.
Platform
Platform is the composable core of Parable. Everything here has been seen across enough customers, long enough, that we’re confident it behaves the same way for yours. We move things into Platform deliberately — a great composable platform takes patience to build, and we’d rather be right than fast at this layer. If something’s in Platform, it’s production, stable, and ours to keep steady.
How to read Platform results: this is the bedrock.
How to read Platform results: this is the bedrock.
Graduation path
Labs → Preview
A Labs capability graduates to Preview once it has proven itself across several organizations — similar shape of insight, repeatable methodology, and a clear mental model of how the underlying AI behaves for it.
Preview → Platform
A Preview feature graduates to Platform once we’ve seen consistent behaviour across enough organizations for long enough that we’re confident changes to the underlying models won’t meaningfully shift results. At that point, it earns a seat in the composable core.
Frequently asked
Will my Preview results actually change week-to-week?
Will my Preview results actually change week-to-week?
Sometimes — yes, a little. The AI models underneath classification (from OpenAI, Anthropic, and Google) update on their own schedule, and our methods learn your organization over time. The result is usually movement within a margin of error that doesn’t flip a decision. When a change is meaningful, we’ll tell you directly — in release notes, in the product, or through your account team.
Should I report on Labs results to my exec team?
Should I report on Labs results to my exec team?
Yes — and we want you to. Labs results are directional, and to date we haven’t seen one turn out fundamentally flawed. Report them as what they are: the sharpest, newest view Parable has into your organization’s data. As a Labs capability matures and graduates toward Preview and Platform, the methodology keeps refining — expect the edges to sharpen, not the conclusions to invert. The main thing to communicate alongside the finding is which tier it sits in; we mark that clearly in-product and your account team can confirm anytime.
How do I know what tier a feature is in?
How do I know what tier a feature is in?
Every Parable feature carries a tier indicator in the product and in our release notes. If you’re ever unsure, ask your account team — we’ll tell you which tier a capability sits in today and what it would take to promote it.
What if a Platform feature changes?
What if a Platform feature changes?
Platform changes are intentional and announced. When the composable core moves, we tell you before it moves.