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RPCS-1 Agent Tuner
Stop oscillations, overload & freeze before launch
A configuration framework for AI agents grounded in RPCS-1 receiver dynamics. Translate environmental entropy, stakes, and predictability into specific LLM parameters.
I built RPCS-1 to solve a problem I kept running into: people often use the same words while processing reality through very different internal receivers.
Instead of labeling people by personality type or pathology, RPCS-1 models how someone receives, filters, updates, and resolves information.
The five core primitives are Temporal Integration, Signal Gain, Filtering Threshold, Update Elasticity, and Ambiguity Resolution.
My hope is that RPCS-1 becomes a shared language for communication friction, neurodivergence, work fit, relationships, and AI-human interaction.
This is an early launch, and I’m looking for feedback, critique, and collaborators who care about precision without dehumanizing people.
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About RPCS-1 Agent Tuner on Product Hunt
“Stop oscillations, overload & freeze before launch”
RPCS-1 Agent Tuner was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #144 on the daily leaderboard. A configuration framework for AI agents grounded in RPCS-1 receiver dynamics. Translate environmental entropy, stakes, and predictability into specific LLM parameters.
RPCS-1 Agent Tuner was featured in Productivity (653.9k followers), Developer Tools (514.1k followers) and Artificial Intelligence (471.1k followers) on Product Hunt. Together, these topics include over 312.2k products, making this a competitive space to launch in.
Who hunted RPCS-1 Agent Tuner?
RPCS-1 Agent Tuner was hunted by Travis Bergen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Travis Bergen