TechJinni

Independent AI-enabled product studio

From real problems to working products.

TechJinni works across product, architecture, delivery, and implementation to turn operational problems and product ideas into systems people can actually use.

AI agents increase execution capacity. Responsibility for the product decisions and the outcome remains human.

Start with the problem See the work
A hand-drawn product journey from a complex real-world setting through product decisions to a working digital product.

11+ years

Across technology and delivery

4+ years

Focused on AI products and transformation

Direct ownership

From discovery through release readiness

Distributed work

Across North America, Europe, and Asia

What TechJinni does

Carry the problem through the whole product lifecycle.

The work begins before implementation and continues after the first build. Product choices, architecture, implementation, testing, and delivery are treated as connected parts of the same work.

  1. 01Problem
  2. 02Product
  3. 03Architecture
  4. 04Build
  5. 05Test
  6. 06Deliver

Start with the real problem. Build the right product. Use AI where it improves the work, not because AI itself is the objective.

Selected work

Products shaped by real operational use.

A focused selection of product stories from practical operational work.

All work
A hand-drawn HoursKZ workflow connecting staff, Telegram and schedules with a practical time-management system.
Working productWorkforce operations product

HoursKZ

Manual employee time tracking in a small coffee shop created avoidable friction for employees and administrators.

A simple Telegram time-tracking tool became a broader workforce operations product after real use revealed the surrounding work.

Read the product story
A hand-drawn VOP workflow connecting warehouse and inventory operations with a control surface and clear outcomes.
MVP acceptance candidateVertical Operational Platform

VOP

Warehouse operations depend on frequent stock movements being fast enough for daily work while still remaining clear, attributable, and reviewable. The product therefore had to support frontline warehouse actions without separating them from access, master data, reconciliation, reporting, and administration.

A warehouse-operations platform combining Telegram-based frontline workflows with Web administration, inventory control, reporting, and operational records.

Read the product story

From the Journal

Notes from building real products with AI agents.

What worked, what failed, what changed my thinking, and what I am still trying to understand.

Open the Journal

Experience behind the work

Breadth without losing accountability.

More than eleven years across product ownership, AI product development, architecture, programme and delivery management, implementation, QA, deployment, consulting, startups, and business ownership support the operating model.

  • Business and engineering translation
  • Direct product and technical decisions
  • Review before release
  • Distributed stakeholder collaboration
Why this model works

Start a conversation

Start with the problem.

Describe the current situation, who it affects, and what a useful outcome would look like. A short note is enough to begin.

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