Ship faster without breaking things.
Other tools record clicks and hope for the best. Tesai understands your UI, generates structured tests from requirements, and heals them when things change — with full reasoning logs and your approval.
- Describe what to test in plain text — or just give a URL
- Zero AI cost during test runs — AI activates only for repair
- See every AI decision in reasoning logs — approve or reject
Three ways in. One reliable outcome.
No scripting required. Tesai handles the complexity so your team can focus on shipping.
Describe, record, or point to a URL
Paste a requirement. Record a user flow. Or just point Tesai at a URL and describe the goal. AI cleans up noise, upgrades selectors, and builds structured test steps.
Run locally or in CI/CD
Execute on your machine, in GitHub Actions, Jenkins, or GitLab CI. Same validated steps, consistent results across environments.
When tests break — AI diagnoses and heals
When something breaks, AI identifies the cause — real application bug, outdated selector, or flaky test — and proposes a targeted fix. You approve before anything changes.
Tests break. Tesai tells you why — and how to fix it.
Most tools just retry and hope. Tesai's AI distinguishes the root cause and responds accordingly.
Bug report with evidence
Screenshots, logs, and DOM state captured at the moment of failure. Your developers get everything they need to reproduce and fix.
Targeted fix — one click to approve
AI proposes the minimal code change needed. You see the diff, the reasoning, and approve before anything is applied.
Root cause logged, retry configured
Flaky tests are flagged with the specific instability pattern. Auto-retry configured. No more wasted debugging time.
Not another AI wrapper. Built as agents from day one.
Legacy platforms bolt AI onto old engines. Tesai was designed as a multi-agent system from the ground up.
Full control. Zero lock-in. AI that explains itself.
4 specialized agents — not one generic AI
Explorer navigates your application and builds test scenarios. Detective triages failures — bug, flaky test, or UI change. Healer proposes code fixes. Sentinel analyzes quality and generates reports.
Gets faster with every fix
Every fix is indexed and recalled instantly when similar issues appear — no repeated AI calls, no repeated costs. Day 1 it's smart. Month 3 it's an expert on your product.
Your data, your keys, your control
Tests stored in open JSON — no vendor lock-in. Bring your own AI keys (OpenAI, Claude, Gemini). Export to Playwright format when needed. Run air-gapped on desktop.
Built for teams that need control, not magic.
Every AI decision is transparent, auditable, and requires your approval.
Drop into your existing pipeline in minutes.
Studio is for authoring. Runner executes validated test steps — execution is AI-free. AI activates for diagnosis and repair.
# .github/workflows/tesai.yml
name: Tesai E2E Tests
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
steps:
- name: Run Tests
env:
TESAI_PROJECT_ID: ${{ secrets.TESAI_PROJECT_ID }}
TESAI_TOKEN: ${{ secrets.TESAI_TOKEN }}
run: tesai run --local --env=stagingBe first. Shape the roadmap.
We're onboarding engineering teams in small batches. Early adopters directly influence what we build next.
- 1 user
- Local execution
- Single-thread runner
- Open JSON steps