AI Innovation Services

Build Your AI Product
Idea to MVP in Weeks

I help startup founders turn bold ideas into real products using LLMs, GPTs, and custom AI systems.

Skip Ahead: Book a Call
The Founder's Problem

Bold Idea. Unclear Path.

You've got an idea for an AI product: a GPT-based tool, a smart assistant, a new kind of SaaS, but the tech stack is unfamiliar. Should you fine-tune? Use APIs? Build from scratch?

Early-Stage Constraints

Three forces working against you

✕Time: every week without a product is a week behind
✕Budget: pre-revenue means every dollar counts
✕Technical uncertainty: the wrong architecture is expensive to undo
✕You don't need research. You need something that works. Fast.
My Promise

Vision to working MVP in weeks

✓Right mix of off-the-shelf and custom AI tools
✓Architecture decisions made by experienced builders
✓Working product, not a prototype or a deck
✓Clear scope, fixed timeline, no scope creep
How I Help

From Concept to Deployed Product

A structured sprint approach that gets your AI product into users' hands as quickly as possible, without the usual false starts.

Idea Scoping

I pressure-test your concept, define the core use case, and identify the fastest path to a working demo your users can actually test.

AI Architecture Design

API vs. fine-tune. RAG vs. pre-trained context. I make the right call for your use case, timeline, and budget, then document the reasoning.

MVP Build

I build the product, including the LLM pipeline, integrations, UI shell, and API layer, in a focused sprint designed to deliver, not to perfect.

Launch & Iterate

I get your product live and help you instrument it to learn from real usage, so you know exactly what to build next.

Production-Ready Systems

I build for production from day one, not throwaway prototypes. Your codebase is yours, fully documented, and built to scale.

Founder Support

You get a senior AI engineer as a thought partner, someone who's built AI products before and can help you navigate the decisions that matter.

My Process

Three Steps From Idea to Working MVP

A lean, fast-moving process built for founders who need to move quickly without wasting runway.

1

Scope & Architect

I define the minimum viable AI product: what it does, what it doesn't, and how it's built. You walk away with a clear technical plan and project scope in one week.

2

Build & Test

I build the core AI pipeline, integrate your data sources and APIs, and test for accuracy and reliability. Real outputs reviewed by real users before I call it done.

3

Launch & Hand Off

I deploy your MVP, document everything, and hand off a production-ready system your team can own. No dependency on me to keep it running.

Enabling Innovation vs. Optimizing Operation

There Are Two Ways AI Creates Value

AI innovation services are about building new products and capabilities that didn't exist before, not just making existing workflows faster. If you're trying to launch an AI-native product, a GPT-powered tool, or a new kind of SaaS, that's fundamentally different from using AI to optimize an internal process. I specialize in the former: turning novel ideas into real, deployed products that create new business value from scratch.

Explore AI Optimization →
What Clients Say

Trusted by Founders and Operators

★★★★★
"… translated a bold, abstract idea into a working foundation, offering a simple yet elegant solution."
SB
Steven Bonoff
Interwoven Studio
★★★★★
"Glissando AI provided the generative AI expertise that our company needed."
RM
Rey Marques
High Rise Talent
★★★★★
"Amin is great to work with, very knowledgeable, and delivered a great product."
SM
Scott Morris
NEXT LTD
★★★★★
"Great quality work, exactly what we were looking for, professional, knowledgeable, and reliable."
SW
Samuel Woods
Stimulead
Common Questions

AI Innovation FAQ

How long does it take to build an AI MVP?
Most AI MVPs can be scoped and built within 4–8 weeks depending on complexity. I focus on getting a working, testable product in front of real users as fast as possible, without cutting corners on the core architecture.
Should I fine-tune a model or use an API?
For most early-stage products, using existing LLM APIs (OpenAI, Anthropic, etc.) with well-designed prompts and retrieval systems is faster and more cost-effective than fine-tuning. I help you make the right call based on your specific use case, data, and budget.
What does "starting at $10K" mean for an AI product build?
A $10K engagement covers scoping, architecture design, and a focused MVP build for a well-defined use case. More complex products with multiple integrations, custom training data, or production infrastructure requirements are priced accordingly after my initial scoping call.
Do I need to have my own data or APIs?
Not necessarily. Many AI products can be built using publicly available models and data sources. I'll assess what you have, what you need, and how to get the most out of both during the scoping phase.
Will I own the code?
Yes. All code is yours. I hand over a clean, documented codebase at the end of every engagement. No lock-in, no ongoing dependency on Glissando AI to keep your product running.

Have an AI Product Idea?

Have an AI product idea but not sure where to start? I'll help you scope it fast and give you clear next steps, whether I work together or not.

Get Expert Input → Send a Message

Send Us a Message

I'll reply within one business day.

info@glissando.ai
+1 916 936 1544
Sacramento, CA
What do you want built?
What are you building it for?
Budget for this project?
Waking up the assistant…

Start Your Free Demo

Answer 3 quick clicks and I'll build a real, working sample of your solution, not a slide deck or a sales call, so you can see exactly what you'd get before you pay anything. Usually ready within about a week. I personally review every submission and reply within a business day; I take on a handful of these at a time.

What do you want built?
What are you building it for?
Budget for this project?

No spam. If it's not a fit, I'll tell you honestly rather than ghost you.

Don't want to wait a week? Book a call now →