Alexander Ruin

AI Systems Design Consultant

Alexander Ruin — systems design consultant. I help design architecture, assess risks, and establish transparent processes — from technology selection to support. AI executors handle routine tasks. Areas: automation, integrations, AI products.

Human QA with auto-corrections for AI-generated code

Live QA assistants test features, PRs, and interfaces, and reports are prepared in a format that can be immediately fed to CI/LLM agents for auto-fixing.

Cases and examples

Manual review of AI-generated code before merging

Checked a pull request with auto-generated code: found 7 UI regressions, documented reproduction steps and hints for auto-fix, closed all in a single CI run.

Exploratory + smoke testing for AI bots

We've compiled scripts for Playwright/Puppeteer and 15 manual scenarios: we catch instabilities, immediately attach screenshots and log diffs so the LLM agent can rewrite the steps.

UX assessment of onboarding with noise-resistant reports

Crowdtesting generated a lot of "noise," but we filtered out duplicates and turned that noise into a checklist for auto-tuning texts, forms, and validations.

👥 Who is it for

AI startups and products where code is generated by models B2B SaaS with rapid releases and a short QA slot. Agencies and integrators in need of an external QA layer Teams integrating human-in-the-loop QA with auto-fixes

🎯 Use Cases

💡 Review of AI-generated PRs before merging with auto-fixes based on the report
💡 Exploratory/UX Crowdtesting with Noise Filtering and Prioritization
💡 Smoke and regression packages that go directly into CI
💡 Reports in a format for Large Language Model (LLM) agents: JSON/Markdown with steps, logs, and edit prompts.
💡 Evaluation of onboarding and payments in headless mode + manual checks of edge cases

🛠️ Technologies Used

Python 3, Pytest, Playwright/Puppeteer, Postman auto-updates (CI/CD): GitHub Actions, GitLab CI, pm2 Load Testing and Profiling: k6, Locust (as needed) Large Language Model (LLM) tools: prompts for auto-corrections, triage agent for noisy reports

What is required of you

  • Access to the test environment and repository with the launch instructions.
  • List of critical user flows and measurable goals (errors, conversion, speed).
  • Expected report format: JIRA/GitHub Issues, markdown packages, JSON for agents.
  • Contacts of the person responsible for accepting fixes.

What you get

  • Report with reproduction steps, screenshots/logs, and priorities.
  • Format for auto-correction: structured Markdown/JSON that can be fed to a language model (LLM) agent or pipeline.
  • Smoke/regression checklists + ready-made playbooks for CI.
  • Summary of false positives and noise filtering rules from crowdtesting.
  • The suggested fixes and hints for prompts to make the agent fix code hands-free.

📋 Order a service

Fill out a short brief — I will respond within 24 hours.

📝 Enter your details

Example: A Telegram bot with payment functionality and CRM integration is needed.

I will send the answer to this address within 24 hours. You can provide your Telegram in the brief.

💬 After submitting the application, I will contact you using the provided details to clarify the specifics.

🎁 What you will get

✓

Report with reproduction steps, screenshots/logs, and priorities.

✓

Format for auto-correction: structured Markdown/JSON that can be fed to a language model (LLM) agent or pipeline.

✓

Smoke/regression checklists + ready-made playbooks for CI.

✓

Summary of false positives and noise filtering rules from crowdtesting.

✓

The suggested fixes and hints for prompts to make the agent fix code hands-free.

⚡ Fast execution

💬 After submitting the application, I will contact you using the provided details to clarify the specifics.

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Other services

Turnkey standalone training systems Technical Co-founder as a Service Business process automation and system integration. Development of Blockchain and Crypto Solutions Development of web platforms and cloud services Marketing and Sales Automation (MarTech & SalesTech) Development of Telegram bots and messenger automation Development of AI and Machine Learning Solutions