by PSivaMallikarjun
Automates QA planning and test workflows with Laya confidence scoring and human approval checkpoints
ClearanceAI is a multi-agent QA automation flow with Laya confidence scoring and HITL checkpoints that generates test plans, synthetic datasets, and execution reports — all gated by human approval with automatic escalation after 3 rejections.
Use cases
Related projects
typesafe-mcp
itsmostafa
Connects AI agents to typed-decision models through an MCP server
laya-ultrafast
ipenywis
Runs a browser automation agent using local Laya decisions through MLX
FluidUse
FluidInference
Automates form filling on Apple devices with on-device models, including Laya through Core ML
keel
codejunkie99
A macOS coding workspace uses local Laya or hosted Jev to select task routes
laya-typed-decisions
convaiinnovations
A Laya model fine-tuned for agent traces, customer service, invoices, and security incidents
jevals
openlayer-ai
Agent evaluation and guardrail tools run with local Laya, Kev, or hosted Jev