Continuous Feedback Loop
An evolving system, not a static tool.
Every AI tool starts smart and stays exactly as smart as it was on launch day. TypaSignal is designed around a fundamentally different premise: the system should get better the longer you use it. The Continuous Feedback Loop is the mechanism that makes this possible. It operates on three channels simultaneously — your passive behavior (what you swipe, skip, and engage with), your active responses to periodic preference questions, and the performance data from what you've published. These three data streams are continuously synthesized into an evolving model of your brand. There's no plateau. Each session is a refinement opportunity, and each refinement makes the next session more accurate.
The four-step process
Passive behavior is tracked continuously
Every swipe, skip, edit, and content interaction adds micro-signals to your brand model without requiring any conscious action from you.
Periodic preference questions surface
Every few days, the system asks one or two targeted questions to clarify ambiguous signals — e.g., 'Is this tone too casual for your brand?' These aren't surveys. They're precision refinements.
Output model is updated
Both passive signals and active responses are synthesized into your content model. The next generation session immediately reflects the update.
Confidence score grows
A visible confidence score shows how well the system knows your brand. Low at first, it grows reliably with usage — giving you a clear signal of how far the system has come.
What it does, precisely
Targeted preference questions
Precise, single-question refinements that surface only when the system has detected a meaningful ambiguity in your behavior.
Between-session behavior tracking
Signals accumulate even when you're not actively swiping — edits, skips, and time-spent-on-content all count.
Output model continuously updated
No manual resets or re-onboarding. The model evolves in the background.
Confidence score visualization
See exactly how well the system knows your brand — and watch it climb over time.
Seasonal adaptation
The system detects shifts in your behavior over time and adapts — if your content needs change seasonally, the model follows.
Cross-feature signal synthesis
Signals from swipe learning, smart notifications, and daily queue are all synthesized into a single, unified brand model.
Who uses it — and how
Creator six months into using TypaSignal
Their content feed no longer needs editing. The system has built such a detailed model of their tone that approval is as simple as a single swipe — no rewrites, no adjustments.
Brand pivoting its content strategy
A brand shifts from educational content to entertainment. The system detects the new approval patterns within days and starts front-loading entertainment-style content rather than tutorial formats.
Creator returning after a break
After three weeks away, their model is intact. One session of swiping catches the system back up. No re-onboarding, no starting over.
Common questions
How often do preference questions appear?
Can I see my brand model?
What's the confidence score based on?
Does the feedback loop work across multiple brands?
Works together with
Continuous Feedback Loop is live
inside TypaSignal.
All nine modules work together. The longer you use TypaSignal, the more it learns about your brand.
Control the signal.
An intelligent system for building and evolving your brands.