Engineering
Before: Manual browser bug reproduction across tools
After: Single-loop triage with logs, network traces, and DOM evidence
COST EFFICIENCY
Resources are lazy-loaded (only fetched when read), so they don't count on init. Max token load is under 10k, but most workflows stay under 4k.
| Component | Chars | ~Tokens |
|---|---|---|
| Server instructions | 2,392 | ~600 |
| observe schema | 5,764 | ~1,440 |
| analyze schema | 5,302 | ~1,325 |
| generate schema | 5,349 | ~1,337 |
| configure schema | 7,972 | ~1,993 |
| interact schema | 12,218 | ~3,054 |
| Total (all schemas loaded) | ~9,750 | |
| Typical observe + analyze | ~3,400 | |
| Typical debugging workflow | ~2,600 | |
Lazy-load strategy: Load only the schemas you need for your task. Observe errors? Load just observe (~1.4k). Debugging? Load observe + analyze (~2.6k). Full tool palette? All schemas load on demand, capped at ~9.75k.
TRANSFORMATION
See how real tasks in your role transform into agents that work for you.
Before: Manual browser bug reproduction across tools
After: Single-loop triage with logs, network traces, and DOM evidence
Before: Specs detached from real UI behavior
After: Annotated sessions and replayable evidence attached to every change
Before: Flaky scripts and brittle selectors
After: Deterministic interact flows with reusable sequences and playback
Before: Late-cycle checks and scattered findings
After: Shift-left audits with SARIF and actionable remediations
SOLUTIONS
PRODUCT
Capture annotation sessions while building so design intent, engineering tasks, and release decisions stay aligned.
DEBUG
Correlate console errors, network payloads, and DOM mutations in one place so root cause is obvious and reproducible.
SEO
Drop in competitor URLs and instantly compare metadata quality, crawl paths, and optimization opportunities from rendered pages.
PRODUCT DEMOS
Record repeatable, local-first product demos with subtitles and scripted walkthroughs for sales, onboarding, and release launches.
AUTOMATION
Automate browser tasks with robust selectors, batch actions, and reusable sequences that scale across teams.
Debug faster. Automate confidently. Ship with evidence your whole team can trust.