CAPABILITIES — ONE PAGE
JASON TEIXEIRA
AI / QA / Automation Engineer — systems that prove they work
SITE agency.sageideas.dev
EMAIL sage@sageideas.dev
GITHUB github.com/JasonTeixeira
BOOK A CALL sageideas.dev/book
AUTOMATION I SHIP
- CI/CD release gates & readiness reports
- Browser + E2E test fleets
- AI workflow evals & guardrails
- Ops automation — webhooks, queues, integrations
- Agent/MCP systems & internal tools
- Data pipelines with integrity checks
FIXED-SCOPE ENGAGEMENTS
AI Workflow Build
You get a working AI workflow with an eval harness, guardrails, and an approval queue — plus the golden set and runbook that keep it honest after handoff.
Test Coverage Sprint
You get your critical flows under Playwright coverage, running in CI, with trace-backed reports your team can actually read.
Release Gate Setup
You get a ship/no-ship verdict on every build — checks, scores, and a readiness report generated by CI, not by vibes.
SELECTED WORK — EVERY NUMBER TRACES TO AN ARTIFACT
Nexural QA OS — Signed-Evidence Runner Fleet — LIVE REPO + CI
Every runner now emits hash-sealed evidence bundles (Ed25519 signing built in), `qa verify` validates any run directory, and an autonomous SDET loop generates passing tests.
85 runners registered in the fleet · 52→91% measured line coverage · 3,698 tests behind ratcheting thresholds · 11 false-green honesty bugs fixed
Voza — 256-Screen Verification System — LOCAL PROOF
A registry-driven 4-tier verifier machine-computes a PROOF_REPORT no human can edit and auto-generates 257 Maestro device flows against the live backend.
256/256 screens green on Tier 1–3 · 257 generated Maestro flows · 36/36 live service contracts wired · 176 production API routes behind them
sage-kernel + Course Auditor — INTERNAL TOOLING
A 140-tool MCP SDLC server with an HMAC-anchored proof ledger and AST engines, plus a Python course auditor extracting claim/source ledgers behind scored gates.
140 MCP tools served over stdio · 68/68 release gates green · 17k+ claims extracted at baseline · 460+ lessons audited across 23 courses
Headless Dashboard Audit Loop — LIVE PRODUCT
A headless Playwright loop mints real JWT sessions, drives and scores every production route, then feeds failures into a triage → fix → re-audit cycle.
92→99.6 route score average, 3 iterations · ~55 authenticated production routes · 0 console errors at final pass · 0 axe violations at final pass
GIGGL — Headless iOS Release Lane — LIVE BACKEND
A fully headless EAS build → TestFlight lane authenticated by an App Store Connect API key, plus a CI fix that made ~1,374 tests actually run.
~1,374 tests un-skipped by the CI fix · 8 social surfaces wired to live backend · 0048–51 production migrations shipped · 2+18 critical/high issues fixed pre-ship
THE TOOLBOX — ALL IN ACTIVE USE
- TESTING & QA Playwright · Maestro (mobile E2E) · Vitest / Jest · axe-core · Lighthouse CI · visual regression
- AI SYSTEMS Claude / OpenAI / DeepSeek APIs · RAG + embeddings · eval harnesses · LLM-as-judge · MCP servers
- LANGUAGES TypeScript · Node.js · Python · SQL · Bash
- PIPELINES & DELIVERY GitHub Actions · CI release gates · Docker · Vercel · EAS / TestFlight · webhooks · queues · cron
- DATA & OBSERVABILITY Postgres / Supabase · DuckDB · Redis · Stripe API · Sentry · PostHog