How do I turn a Lovable, Bolt, or Cursor MVP into a production-ready app?

I harden the MVP for real users: architecture cleanup, secure authentication, database design, CI/CD, monitoring, and cloud deployment. The goal is predictable uptime, safer releases, and a system that can scale with demand.

Can you automate manual business workflows based on Excel, email, and Slack?

Yes. I map your current process, identify bottlenecks, and build end-to-end automation across your existing tools such as CRM, ERP, Notion, Slack, and inbox workflows, with AI added only where it improves speed or quality.

How can I tell if AI automation is worth it for my company?

We start with an AI and process audit. You get a prioritized automation roadmap with expected business impact, implementation complexity, and estimated ROI so you can decide what to build first.

How long does an AI automation implementation usually take?

A focused pilot can often be delivered in a few weeks, while broader transformations are split into phases. After discovery, I provide a concrete scope, timeline, and delivery milestones.

How much does AI workflow automation cost?

Cost depends on process complexity, number of integrations, and reliability requirements. After the initial assessment, you receive a transparent proposal with scope options so you can choose the right investment level.

Do I need a technical background to work with you?

No. Many clients are non-technical founders or operators. I explain trade-offs in plain language and take ownership of the engineering decisions, so you can focus on business outcomes.

Do you offer one-time delivery or long-term technical partnership?

Both. I can deliver a one-time implementation or stay involved as a fractional CTO and long-term engineering partner to support growth, optimization, and future automation phases.

Senior Software / Cloud Engineer · AI · Data · DevOps

I turn your vibe-coded MVP into a production-grade system.

I help founders who built something with AI (Lovable, Bolt, Cursor, n8n, Zapier), and companies with heavily manual business processes — transforming them into stable, scalable, and automated systems.

Vibe-coded MVP → ProductionBusiness Process AutomationAI for business operationsNo-code / Low-code RescueWorkflow AutomationLovable / Bolt / Cursor HardeningExcel & Email → API

Check automation potential See projects

filipek@command-center: ~/ops

About

I help founders and companies ship products and automate business.

I work with two client types: founders who built something with AI (Lovable, Bolt, Cursor) and need to bring it to production, and companies with manual business processes that want real automation and AI implementation.

Vibe-code Rescue

I take MVPs built in Lovable, Bolt, or Cursor and turn them into production products.

Business automation

Excel, email, and Slack-based work transformed into autonomous 24/7 workflows.

AI where it pays off

I implement AI in sales, support, operations, and content with measurable ROI.

Data order

A single source of truth instead of 10 spreadsheets. Reports and dashboards without manual work.

Stable cloud

Migration from prototype to real hosting: backups, scaling, and controlled costs.

Long-term tech partner

Fractional CTO / engineer for founders and companies without an in-house tech team.

Problem → Solution → Impact

From operational chaos to autonomous systems.

Process transformation focused on business impact: faster releases, fewer errors, less manual work.

Before

Vibe-coded MVP crashing at 10 users
Business processes trapped in spreadsheets, emails, and Slack
Manual copy-pasting data between systems
AI prototype that never reached production
No monitoring — customers detect errors first

After

Stable product, ready for growth and customers
Business processes running autonomously 24/7
Integrated systems — data flows automatically
AI embedded into operations with measurable ROI
Monitoring, alerts, and recovery — peace of mind

Services

Example service areas.

These are example services. The final scope is always tailored to your process, goals, and company stage.

Below are example services and collaboration scenarios. Every implementation is designed individually.

Vibe-coded MVP → Production

Problem: An app built in Lovable / Bolt / Cursor works, but crashes, lacks security, and doesn't scale.
Solution: Refactoring, hardening, auth, database, CI/CD, monitoring, and real cloud deployment.
Outcome: A product ready for customers and growth.

Business process automation

Problem: Operations in spreadsheets, email, Notion, and Slack — all manual.
Solution: End-to-end workflows connecting your tools into one system.
Outcome: Hours of manual work → minutes of automation.

AI in business operations

Problem: You know AI could help, but not where or how.
Solution: Audit + AI implementation in real processes (sales, support, ops, content).
Outcome: Measurable savings and competitive advantage.

System integrations (CRM, ERP, SaaS tools)

Problem: Data is scattered across 10 tools with manual copy-paste.
Solution: API integrations, webhooks, sync between CRM, ERP, billing, and marketing.
Outcome: One source of truth, no more copying.

Rescue for failing MVP

Problem: Something was built quickly with AI and now it crashes, loses data, or is insecure.
Solution: Diagnosis, critical bug fixing, security hardening, and stabilization.
Outcome: Working again — and this time production-ready.

Data order for your company

Problem: Data spread across sheets and copies, inconsistent, without backups.
Solution: Central database, cleanup, automated reports and dashboards.
Outcome: Decisions based on real numbers, not memory.

AI agents for your team

Problem: Repetitive questions, manual emails, and manual reports.
Solution: Custom AI agents (support, sales, ops) integrated with your tools.
Outcome: Your team focuses on what truly matters.

Technical audit and automation discovery

Problem: You're not sure what to automate first.
Solution: Process mapping, AI readiness assessment, and quick-win roadmap.
Outcome: A concrete plan with priorities and ROI.

Cloud, hosting, and scaling

Problem: MVP on free tier, everything on one server, no backups.
Solution: Migration to stable cloud (AWS/GCP), backups, monitoring, cost control.
Outcome: Infrastructure you can confidently show to investors.

Long-term technical support (fractional CTO)

Problem: No technical partner, every change is risky.
Solution: Ongoing engineering support, code review, planning, AI implementations.
Outcome: A tech partner who thinks about the product with you.

AI & Data Operations

AI should solve real operational problems.

Not a buzzword, not marketing fluff — production systems that run on data and processes.

AI Workflow Automation

→Workflow orchestration
→AI agents
→Intelligent pipelines
→Process automation

Data Processing & Pipelines

→ETL/ELT
→Scalable data pipelines
→Cloud data processing
→Integrations

AI Integrations

→LLM integrations
→OpenAI / API
→Self-hosted AI
→Embeddings & search
→AI copilots

AI-powered Operations

→Log analysis
→Pipeline failure analysis
→Intelligent alerting
→Anomaly detection

Data-driven Infrastructure

→Observability
→Monitoring
→Scalable cloud architecture
→Infra for AI systems

Tech Stack

Interactive infrastructure topology.

A proven stack for building scalable AI, data, and cloud-native systems.

CloudKubernetesInfrastructure as a CloudCI/CDFirebaseSupabaseStripeMCPDatabasesDockerVibe CodePythonKotlinJavaAI APIsLLMsWorkflow OrchestrationMonitoring

Case Studies

Example projects with measurable impact.

AI and automation use cases across operations, sales, cost reduction, strategy, and marketing.

The data is indicative and estimated for one person's work. Calculation assumption: PLN 120/hour of operational work. Estimates are monthly and show gross savings before AI/automation tool costs.

Collaboration

Pipeline discovery → implementation → impact.

A repeatable value-delivery process — from audit to autonomous system.

Discovery

We map processes, data, and bottlenecks.

Process analysis

We identify AI and automation potential.

Architecture design

Cloud-native, scalable, observability-first.

Implementation

Iterative implementation of automation and AI.

Monitoring and growth

Optimization, observability, and continuous iterations.

AI / Data Automation Assessment

Let's see what we can automate.

A smart consultation form — estimate automation potential, AI readiness, and quick wins in 2 minutes.

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