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README.md

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 short_description: NEO alerting-satellite jitter reduction-Starship-style
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+# Rendered Frame Theory (RFT) — Agent Console
 
+I built this Space to be completely open about what I’ve made, how it works, and where it succeeds or fails.
+
+Rendered Frame Theory (RFT) is a framework I developed independently to solve a recurring problem I kept encountering in real predictive systems: most pipelines wait too long to act. They chase certainty, then react. By the time a correction happens, energy has already been wasted, instability has already grown, or the system has already triggered false positives.
+
+RFT flips the priority. It treats timing, uncertainty, and decision “collapse” as first-class variables instead of side effects.
+
+This Space hosts working agents built using that approach. Nothing here is hidden. All code runs. All assumptions are stated. Results are shown honestly, including where the approach does not outperform conventional methods.
+
+---
+
+## What RFT is (in practical terms)
+
+RFT is not a new programming language, not a replacement for control theory, and not a belief system.
+
+RFT is a decision-timing framework.
+
+Most systems do:
+- predict state  
+- minimise error  
+- correct once confidence is high  
+
+RFT changes the order of importance:
+- predict state and delay  
+- estimate uncertainty explicitly  
+- collapse actions earlier when the cost of waiting is higher than the cost of acting  
+
+In practice, this can lead to:
+- earlier meaningful corrections  
+- fewer false positives  
+- lower compute/actuation usage  
+- more stable behaviour under noise  
+
+---
+
+## What this Space is NOT
+
+This Space is not:
+- a certification claim  
+- a flight-ready aerospace model  
+- a physics replacement argument  
+- a “trust me” pitch  
+
+It’s a transparent test harness that you can run, break, and compare.
+
+---
+
+## What’s inside
+
+This Space includes:
+- Near-Earth Object (NEO) alerting agent
+- Satellite jitter reduction agent
+- Starship-style re-entry & precision landing harness (simplified)
+- A Benchmarks tab with baseline vs RFT runs using the same seed
+- A Theory → Practice page mapping ideas directly to code behaviour
+- A Mathematics tab defining what the variables mean (with units) and how they map into implementation
+- An Investor / Agency walkthrough tab that explains what’s proven here and what’s needed next for production
+
+Every agent:
+- runs locally inside the Space
+- shows plots
+- exports CSV logs
+- uses reproducible seeds
+
+---
+
+## Why I’m making this open
+
+I’m done hiding behind documents.
+
+If this is “just clever coding”, that will be obvious once people run it.
+If it isn’t, that will also be obvious.
+
+Either way: the code speaks louder than claims.
+
+Run it. Change parameters. Break it. Compare it.
+
+That’s the standard I’m holding myself to.
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference