An AI ops layer that cleared repetitive client requests before the team logged on
Designed as a production workflow, not a demo bot. The system classified inbound requests, drafted responses, and routed actions into the client’s operating stack.
Gil's Product Studio helps clients turn rough ideas into shipped software: AI-native apps, SaaS products, internal tools, agents, and automations built with startup speed and senior execution.
A product studio for companies that want software created with speed, taste, and real technical depth.
Lean like a startup studio, but structured enough for client delivery.
We define the actual problem, user flow, technical constraints, and what a meaningful first version really needs.
We turn the idea into a designed flow and working prototype so decisions come from something concrete, not speculation.
The product gets built in tight loops: interface, logic, AI behavior, integrations, and the boring infrastructure it depends on.
We deploy, hand over, and keep iterating where needed so the product can keep learning from real users and real business use.
Small team, direct communication, shipped product. That is the model.
Start a build ↗These are framed as sample engagements so the page works now. You can swap in real client screenshots and metrics later.
Designed as a production workflow, not a demo bot. The system classified inbound requests, drafted responses, and routed actions into the client’s operating stack.
From concept to usable product in under two months, with design, product thinking, and implementation carried by one senior studio loop.
We unified reporting, task handling, and operational visibility into a single product surface so the team could stop stitching work together manually.
This studio is built around a simple idea: the best modern software is made by small senior teams that can think about product, AI behavior, interface, and implementation as one connected system.
Clients work directly with the people defining, designing, and shipping the product.
The point is not to add AI. The point is to make the product materially better because AI is designed into it properly.
Code, assets, accounts, and deployment can all be handed over cleanly so the product remains yours.
Live product behavior is what sharpens the roadmap. The studio optimizes for that reality.
Starting-point packaging for different levels of product ambition. Final pricing can be refined once the real scope is clear.
For validating a new AI product, user flow, or automation opportunity before committing to a full build.
A focused product build from design to deployment: ideal for SaaS, AI products, internal platforms, and client-facing tools.
Ongoing product support for businesses that want a long-term external product team without growing headcount immediately.
Short, direct answers to what is usually asked in the first call.
AI-native apps, software products, agents, automations, and internal tools. Engagements range from a one-week prototype sprint to a multi-month build, with a Partner model for ongoing iteration.
A Sprint runs one to two weeks. A Build runs four to eight weeks. Partner engagements are ongoing and billed month to month, with a minimum term agreed up front.
Yes. The studio handles the full stack, from product framing and design through development and deployment, so what you walk away with is a working product, not a roadmap.
You do. All code, designs, repositories, and credentials are handed over on the final invoice, with no licensing tricks or vendor lock-in.
Sprint and Build are fixed-price, scoped against a written brief. Partner is a flat monthly fee. Final scope and price are agreed in writing before any work starts.
Sprint is a short, scoped experiment to validate an idea. Build is a focused end-to-end product build that ships. Partner is ongoing product support for a live product, billed monthly.
Share the idea, the business problem, or the workflow you want improved. The form below creates a prefilled email draft so you can send the brief directly.