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// AI ADVISORY · WARSAW, PL

Apply AI where it actually moves the business.

Most AI projects stall in slide decks. I work shoulder-to-shoulder with founders and ops leads to ship the right AI use cases — agents, copilots, NL-to-data, internal tools — to production in weeks, not quarters.

// OUTCOMES

What you walk away with.

1 week TO FIRST WORKING PROTOTYPE

From kickoff to a live, evaluated agent or copilot you can put in front of real users.

3–5 USE CASES PRIORITIZED

Ranked by ROI, time-to-value, and risk — so you spend the budget on what compounds, not on demos.

60–80% TYPICAL OPS-COST CUT

On routine workflows we automate end-to-end (support triage, data Q&A, reporting, lead qualification).

Vendor-free INDEPENDENT POV

I don't resell models, infra, or platforms. Recommendations are picked on merit, not commission.

// PROOFS · WHY ME

I don't pitch AI from a slide deck.

SV Lab runs three live AI products in production today, on top of a 12-year track record of shipping internet products end-to-end. Below: the work most relevant to this engagement.

Prowl

prowl.chat

235+ recon tools, orchestrated into one strategy report.

An AI competitive-intelligence agent that pulls SEO, ads, funnels, reviews, pricing, and market signals across 235+ tools, then synthesizes them into an 8-module strategy report delivered as an interactive brief, infographic, PDF, slide deck, and video.

Marketing intelligence · 2025 → Present Visit

CheckMyData

checkmydata.ai

ChatGPT for your database.

Open-source, MIT-licensed agent that turns plain-English questions into queries, executes them across PostgreSQL, MySQL, ClickHouse, and MongoDB, and explains results with auto-generated charts. Privacy-first by design and fully self-hostable.

Open-source · NL → SQL · 2025 → Present Visit
// PROCESS

How it works.

  1. 01 · WEEK 1

    Discovery & opportunity map

    We map your workflows, data, and tooling, then score 8–12 candidate AI use cases on impact, feasibility, and risk. You leave the week with a ranked roadmap.

  2. 02 · WEEKS 2–4

    Working prototype

    I build the top use case end-to-end — agent, eval harness, guardrails, and a thin UI — running on your data. Not a slide deck, not a demo: a tool your team can use.

  3. 03 · WEEK 5+

    Hand-off or scale

    Either I package the prototype into a shippable internal product, or I hand it to your engineering team with docs, evals, and an upgrade path. Your call.

// FAQ

Common questions.

Do you only work on greenfield projects?

No. Most engagements are inside existing companies, on top of existing data and tooling. I'm comfortable joining a stack rather than rebuilding it.

Which models / platforms do you recommend?

Whichever ones fit. I've shipped on OpenAI, Anthropic, and open-weight models, with and without orchestration frameworks. The choice is driven by latency, cost, privacy, and the eval bar — not by vendor preference.

What does engagement look like?

Either a fixed-scope advisory sprint (1–4 weeks) or a fractional retainer (1–2 days/week). Output is always a working prototype or a decision memo — never just slides.

Do you sign NDAs and DPAs?

Yes. I work under NDA by default, and I'm comfortable with GDPR / data-processing addenda. I'm based in Poland and invoice as a registered EU entity (VAT PL5223265821).

What if AI isn't actually the right answer?

I'll tell you. Plenty of workflows are better solved with a script, an SQL view, or removing a step entirely. The first deliverable is the honest opportunity map — even if it ends with 'don't ship AI here yet'.

// LET'S TALK

Ready to put AI to work?

One email and we're on a call within a week. I read every message and reply within one business day.

// LOCATION
Warsaw, Poland
// HOURS
Mon–Fri · 09:00–18:00 CET
// REPLY
Within 1 business day