Founder-led · Pristina · Working software from day 5

We ship the AI product.Not the deck.

Complete AI products — model, backend, UI, deploy — built by one senior engineer in 2–4 weeks. Prices below, not on request.

Scoping call outputLive

scope: support-bot for 200 tickets/day · est. €18K · 3 weeks · start Mon

€1,500
Strategy sprint · 2 weeks
€15K–€45K
Product sprint · 2–4 weeks
€3,000/mo
Retainer · month to month

The problem

You've tried to build this before.

Five ways an AI project stalls. Every one of them is an engineering problem, not a model problem.

The pilot never left the notebook.

A demo that works on your laptop is not a product. Nobody owned the deploy, the monitoring or the bill.

The agency quoted three months.

Discovery, then a deck, then a statement of work. Four weeks gone before a line of code exists.

You got juniors on the invoice.

The senior on the pitch call was never on the project. You paid for the ramp-up twice.

Nobody would name a price.

Every estimate arrived as a range with a caveat. The scope moved every time you asked.

The model works, the product doesn't.

Prompt quality was never the hard part. Auth, data plumbing and uptime were.

Our approach

Working software from day 5, then every three days after.

No discovery phase that produces a deck. The first deliverable is a URL, and it never stops being one.

Day 5 — it runs.

A URL with the core loop working end to end by the first Friday. Rough, but real.

Every 3–4 days — you see it.

A live demo on a call, not a status report. What you say on Tuesday is in the build by Friday.

Week 4 — it's live.

Deployed, monitored, documented, source in your repo. Thirty days of support after.

Measured on real traffic

What shipped, and what it did.

Five products in production. The number on the left is the one the client measured after launch.

64%tickets resolved without a humanInstant first response. €110K a year saved on support.
−85%review time per contract99.2% accuracy on key clauses. 40 hours saved per employee, monthly.
−90%manual reporting timeReporting runs end to end. Executives query it in plain language.
8 min → 45 saverage wait time70% of routine calls handled. €180K a year saved.
qualified leads processed85% scoring accuracy. Outreach runs on its own.

How they work

Five products, drawn from their own interfaces.

Each panel is the real shape of the thing that shipped — the thread, the extraction table, the agent pipeline, the queue, the scoring run.

Ticket #4821 · Billing
My invoice shows March twice. Was I charged double?
Yes — the annual plan renewed on the 1st and the old monthly plan billed on the 3rd. I’ve refunded the monthly charge (€49); it lands in 3–5 days.Source · Billing FAQ §3 · Stripe refund re_2Kx…
Resolved automatically · 0.8 s

Support bot for a SaaS help desk

Challenge
200+ tickets a day. First response took 4 hours.
Solution
Retrieval chatbot over the docs, wired into the existing ticketing system.

Retrieval chatbot · Ticketing integration

Extracted clauses4 / 4
ClauseValueConf.
Termination90 days notice99%
Liability cap€250,00098%
Governing lawZürich99%
Auto-renewal12 months97%

Contract review platform

Challenge
2–3 hours of manual review per document.
Solution
Clause extraction model, a review dashboard and a workflow around it.

Extraction · Dashboard

Pipeline · month-end closeRun #218
extracted 1,204 rows2 anomalies flaggedreport sent 06:12

Financial reporting agents

Challenge
Finance team losing 15+ hours a week consolidating data by hand.
Solution
A pipeline of agents: extract, validate, analyse, write the report.

Multi-agent · Reporting

Live · inboundRec

“I need a copy of last month’s invoice, the one from March.”

  1. 00:00Call in+41 44 …
  2. 00:03Transcribedde-CH
  3. 00:07Intentbilling · invoice copy
  4. 00:09Routedbilling agent
  5. 00:45Resolvedinvoice re-sent

Voice agent for a call centre

Challenge
500+ inbound calls a day, long queues, high staffing cost.
Solution
Voice assistant with live transcription and intent routing; hands off to a person for complex cases.

Voice · Routing

Inbound · todaySynced → CRM
LeadCo.ScoreAction
M. KellerHelvetia Logistik92Demo booked
A. RossiNordwind GmbH81Email sent
J. BerishaPrishtina Tech64Nurture
S. NovakAdria Retail31Skip

Lead scoring for a sales team

Challenge
Reps qualifying leads, booking demos and following up by hand across platforms.
Solution
Agents for qualification, outreach and CRM sync.

Agents · CRM sync

What it costs

Three ways in, all of them priced.

No “contact us for a quote”. Pick the tier, book the call, get a fixed number in writing.

012 weeks

Strategy Sprint

from €1,500

Two weeks to find out what is worth building, whether your data can carry it, and what it costs. Ends in a fixed quote.

  • Data & feasibility audit
  • 3–5 scoped use cases
  • Fixed-price quote
  • 90-day roadmap
022–4 weeks

Product Sprint

€15K–€45K

A complete AI product: model, backend, UI, deploy. Working software from day 5, a demo every 3–4 days, live by week 4.

  • Model + backend + UI
  • Deployed on your cloud
  • Demo every 3–4 days
  • 30 days of support
0360–80 h / month

Retainer

from €3,000/mo

Senior full-stack and AI hours every month, without hiring. Roadmap features, model tuning, infrastructure cost — one engineer who already knows the codebase.

  • 60–80 senior hours
  • Weekly call + daily Slack
  • Same-day emergencies
  • Month to month

The terms

What you can hold me to.

Four commitments that are in every contract, whichever tier you pick.

The price on the card is the price on the invoice.

Fixed fee, agreed before the first commit. Scope changes are quoted before they are built, never after.

You own everything from the first commit.

Source, documentation and infrastructure live in your accounts. There is nothing to hand back.

One engineer, start to finish.

The person on the scoping call writes the code. There is nobody to hand off to.

No lock-in on the retainer.

Month to month, cancel any month. Clients stay because the work is good, not because of a contract.

Why one engineer

Most people can do AI or production. The graveyard of AI projects is the gap between them. I've spent six years on the production side and build the AI on top of it. You get one engineer, the whole stack, and a demo every few days.

The engineer

Fortan Pireva, Founder & Senior Full-Stack Engineer

Fortan Pireva

Founder & Senior Full-Stack Engineer · Pristina, Kosovo

Six years building production systems for startups and scale-ups, then AI on top of that foundation. On every Codeks project you talk to the person writing the code.

Built for

ResumemasterCodepilotLinktobioCremeriLe PlombierYunakinCC Sporting EventsCrafted Tools

Start here

Your product could be live in four weeks.

Thirty minutes, no deck. Bring the problem and you leave with a scope, a price and a start date.

Book the call