Real user journeys, walked
Install, onboard, tap through, screenshot, report. Agents walk your real user journeys on physical hardware and file replayable evidence.
Three pains every sales and BD team hits weekly. Each one is what your reps actually complain about, not what a feature page would call them.
Manual QA on real devices is slow and expensive.
Bugs in push notifications, deep links, and onboarding flows ship because nobody had time to walk every journey on every phone.
Every pipeline below is a shape you wire on the canvas using the crew and tools further down. Not a feature we ship for you, a pattern you configure.
Install, onboard, tap through, screenshot, report. Agents walk your real user journeys on physical hardware and file replayable evidence.
Verify push notifications, deep links, and cross-device behavior on every build, before your users do.
Run A/B variants on physical devices before release and get side-by-side recordings for the decision.
Real personas from the tech_team crew. Each ships with a tuned system prompt and a default tool allowlist. Swap models per persona on the canvas.
Plans the journey coverage and reads the evidence per build.
Walks the app UI screen by screen and captures each step.
Wires runs into your release cadence and files the reports.
Compares variants side by side and flags what regressed.
Every tool below is a real shared tool from the Melaya bundle. Allowlist per agent; HITL-gate the writes; revoke any of them in one click.
Drives your app on a real device: taps, swipes, screenshots, step logs.
Files what it finds where your team already works.
Turns run evidence into a searchable record per build.
Reads configs and logs alongside the on-device run.
Every pipeline ships with three layers of knowledge access. Mix and match per agent on the canvas. No shared vector space with another tenant, no surprise reads, no opaque retrieval.
includeContextPer-pipeline documents appended to specific agents' input on every run. The ICP brief, playbook, pricing sheet, or won-deal email corpus. Whatever needs to be there before the agent thinks. You pick which personas get which docs.
rag_retrieveA scoped tool granted per-agent. When the agent decides it needs more depth, it queries the workflow's vector store on demand. Same knowledge base as Static context, accessed only when the model asks for it.
pipeline_memoryPipeline-level state that carries from one run to the next. Yesterday's research is in scope for today's follow-up. The crew remembers what it already prospected, what got approved, what was sent. The audit log is the second-order knowledge base.
Sandbox tier is free with no card. Join the waitlist and we will email you the moment a slot opens.
← Back to every use case