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Enable AI agents to deliver real-time haptic feedback through connected devices.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "rlaif" yet — see the docs or source repo.
Design an integration plan for rlaif: when the AI assistant judges a user action as correct, send positive feedback through Intiface; when it detects a policy violation or dangerous action, send negative feedback through PiShock/OpenShock. Provide the event flow, configuration options, and a test checklist.
An integration plan with system flow, device channel configuration, and validation steps.
Create rlaif feedback rules for a learning assistant AI: give mild positive feedback for correct answers, trigger negative feedback after three consecutive wrong answers, and include cooldowns and safety limits. Output a rule table and pseudocode.
An actionable feedback rule set with thresholds, safety limits, and implementation logic.
Write a test plan for the rlaif server covering the Intiface positive channel, PiShock/OpenShock negative channel, reconnection recovery, permission control, and error handling, and list the test cases by priority.
A structured test plan including priorities, test scenarios, and expected results.
Enable AI agents to play Library of Ruina through game state and UI control.
Create feedback-driven AI workflows with user confirmation to reduce risky actions.
Add interactive confirmations and feedback to AI workflows to reduce speculative tool calls.
Run deterministic agent orchestration with task decomposition, subagents, and review feedback.
Give AI agents spa-like resets between tool calls to improve pacing.
Control smart homes, memory, cron jobs, and multi-agent workflows via AI.