PROJECT: your product

SHEET 1 OF 6

Problem 1.Ship AI that earnsits place.

Forward Deployed AI Engineer and Principal Engineer, embedded in your product cycle. Agents, MCP, LLM features, on backend and cloud that hold up.

Answer: Contact Arek on LinkedIn

The path that ships

  1. your productwhere the problem lives
  2. agentone, scoped to a real job
  3. MCP toolsCRM and docs, nothing more
  4. eval harnessproves it works before it ships
  5. API (Python/Go)a backend that holds up
  6. cloud (AWS/GCP)sized to real load

Not built: fine-tuned model, vector cluster.

Sheet 2 — Services

1. Given
Your product, goals, constraints, current stack, team context.
2. Find
Where AI creates real value,
what to build, how to ship.
3. Answer
Practical plan, embedded engineer, shipped features, measurable impact.

2.1Forward Deployed AI Engineering

Given
An AI feature that works in a demo and stalls before production.
Find
The smallest system that does the job reliably.
Answer
An engineer embedded in your team, shipping LLM features with evals, guardrails and monitoring.

2.2Agentic systems & MCP

Given
Workflows that need tools, data and judgement, not another chatbot.
Find
Where an agent earns its cost, and where plain code wins.
Answer
Agents with tool use, MCP servers for your systems, and Claude Code workflows for your team.

2.3Architecture & code review

Given
A codebase that makes decisions for you, usually the wrong ones.
Find
Every risk, bottleneck and time bomb before it costs a launch.
Answer
A written map of what to fix, what to cut and what to leave alone.

2.4Cloud & backend

Given
Cloud bills out of step with traffic. Services nobody wants to deploy.
Find
Infrastructure that scales to real load without the waste.
Answer
Python and Go backends; AWS, GCP and Cloudflare with IaC, serverless and containers.

2.5Frontend & mobile

Given
Slow interfaces, or two native apps doubling the maintenance.
Find
One stack that performs and stays maintainable.
Answer
React and TypeScript on the web; React Native and FlutterFlow on phones.

2.6Tech Lead / Solution Architect

Given
Senior engineers burning cycles on decisions that belong to a lead.
Find
Someone to carry the architectural weight.
Answer
Embedded technical leadership that ties every choice to what ships.

Note: AI sits in the delivery loop on every row above, not only the first two. It makes the backend, cloud and mobile work faster too.

Sheet 3 — Apps

Given: advice is cheaper than proof. These are products YAGNI.IO builds and runs itself.

  • BeautyAura

    v1 · launching

    AI Beauty Plans for cosmetology studios. One consultation becomes a six-to-eight-week plan built from the studio’s own price list and shelf. The cosmetologist approves every plan.

    beautyaura.ai

  • BeautyChat

    in development

    AI beauty planning that helps people build realistic routines for their goals and lifestyle.

    beautychat.ai

  • VibeCheck Beauty

    in development

    A lightweight companion for quick check-ins, habit tracking and consistency in self-care.

    vibecheck.beauty

Sheet 4 — About

Arkadiusz Gutkowski
Fig. 1 — Arkadiusz (Arek) Gutkowski, CEO / Principal Engineer

Over a decade designing and delivering cloud-native systems at scale, and now shipping AI into production: agents, MCP servers and LLM features, built on the backends and cloud they depend on.

Daily role: Tech Lead and Forward Deployed Engineer, embedded with product teams through the full delivery lifecycle. Architecture, technical strategy, hands-on implementation, and the hard conversations that keep systems aligned with business outcomes.

YAGNI.IO currently works with Xebia. Capacity is limited and intentionally kept that way.

Sheet 5 — Contact

Given
You are building something that needs to survive real scale, and you want AI in it that pulls its weight.
Find
Whether we are a fit. YAGNI.IO works with a small number of teams at a time. Fit matters more than timeline.

Include in your message:

  1. What you are building and where it is breaking down
  2. The support you need: architecture, delivery, or both
  3. Your expected timeline and engagement type
Answer: Contact YAGNI.IO on LinkedIn

Reply within 1–2 business days. Not every engagement is the right fit, and we will tell you that directly.

Sheet 6 — Company

Name
YAGNI.IO Sp. z o.o.
Address
Aleja Grunwaldzka 413
80-309 Gdańsk, Poland
Registry
Limited Liability Company, National Court Registry (KRS) no. 0000714375
VAT EU
PL5833282226
D-U-N-S®
439433966

© 2026 YAGNI.IO · You Aren’t Gonna Need ItBack to sheet 1