AI SaaS & MVP Development

Build the product foundation your AI layer needs.

We turn a product idea, a rough workflow, or a crowded product experience into a clear product people can use. AI goes where it improves the outcome, while the core product stays simple, reliable, and ready to learn from real users.

  • Product strategy
  • MVP experience design
  • Product architecture
  • Full-stack development
Book a discovery callSee what we build
yourmvp.dev/sprint/4
Sprint 4, AI drafted 5 tickets from your spec

Build3

  • Invite flow

    40

    Frontend, 2 pts

  • Usage limits

    35

    Backend, 3 pts

  • Email digest

    20

    Jobs, 2 pts

Review3

  • Onboarding AI

    90

    LLM, 5 pts

  • AI summary

    80

    LLM, 5 pts

  • Billing

    75

    Stripe, 3 pts

Onboarding AI moved to Review
Ship to staging

Sprint board

The problem

AI cannot fix a product that is hard to use.

Years of product decisions leave behind crowded screens, drifting patterns, and flows that ask users to understand the system before they can do useful work. Adoption slows and every new feature adds to the load.

We start with the foundation. The right structure, flow, and system give the AI layer somewhere useful to sit and give your team a product it can keep extending.

What we hear

The product grew feature by feature and it shows. The dashboard is crowded, new users miss the first win, and we are thinking about AI before the basics are clear.

Why this matters now
What we do

We shape the product, then build the version people can use.

  • 01
    Product strategy

    Define the user problem, business case, assumptions, and signal that tells you whether to continue.

    Targets clarity
  • 02
    MVP experience design

    Design the smallest complete flow that can deliver a useful outcome and teach you something.

    Targets time to value
  • 03
    Product architecture

    Structure the screens, states, permissions, and data so the product can grow without fighting itself.

    Targets usability
  • 04
    Full-stack development

    Build the frontend, backend, authentication, data layer, and deployment as real product software.

    Targets delivery
  • 05
    AI feature engineering

    Add AI where it improves the product outcome and use simpler software everywhere else.

    Targets product value
  • 06
    Testing and refinement

    Find usability problems, technical risks, and weak assumptions before launch and after first use.

    Targets learning
How we build it

From a product question to a useful first release.

Step 01
Understand the user and the metric.

We learn what users need to do, where they stall, and which number the first release must move.

Weeks 1-2
Step 02
Structure before styling.

We map the information architecture and core flows before visual detail makes the wrong path expensive.

Week 3
Step 03
Design the system.

We create the patterns, tokens, states, and components that let the product feel like one product.

Weeks 4-7
Step 04
Build and test the real thing.

We put working software in front of users, measure the important path, and remove what gets in the way.

Weeks 8-13
Step 05
Ship with room to continue.

You receive a working release, useful analytics, clear documentation, and a foundation your team can extend.

Week 14
The method

A product stack your team can keep building in.

We use familiar tools and make the decisions visible, so speed does not create a maintenance problem.

  • 01Product designFigma, flows, prototypes, and a component system organized around real product work.
  • 02Design tokensColor, type, spacing, and state rules that keep the experience consistent as it grows.
  • 03FrontendReact, Next.js, TypeScript, and working browser prototypes when code improves the decision.
  • 04Backend and dataApplication logic, authentication, APIs, Postgres, and your existing data where it belongs.
  • 05AI layerManaged models, retrieval, structured outputs, and guardrails without bespoke model training.
  • 06Testing and analyticsUsability checks, product events, evaluation cases, and the signals needed for the next decision.
What you get

A product your team can ship, learn from, and extend.

yourproduct.com/ai-saas-mvp-development/deliverables
  • Core product flowsThe screens and paths that deliver the first useful outcome.
  • A maintained design systemDocumented components, tokens, and states your team can reuse.
  • Wireframes and prototypesTestable structure before detail and realistic flows before build.
  • Working product softwareA real frontend, backend, data layer, and AI feature where it earns its place.
  • Usability and product findingsWhat we tested, what changed, and what to learn next.
  • Developer-ready handoffCode, documentation, analytics, and decisions your team can continue.
The Ship-It Guarantee

We agree on the scope and launch date before the build begins. You always know what is included, what is out of scope, what comes next, and when it will ship. If we miss the deadline because of our work, the final payment is on us.

The working agreement

Clear scope, close collaboration, useful handoff.

The same operating commitments apply whether you start with an audit, a build, a rescue, or growth work.

  • Founder inevery engagement
  • Senior teamno shared pool
  • Fixed scopeprice agreed first
  • Weekly reviewshared channel
  • Your repodesign files
  • Stop anytimeno notice period
The usual path
  1. 01Start here
    AI Experience Audit

    A fixed price, two week audit that finds where AI can move a metric in your product, and where it cannot.

    • Ranked AI opportunities
    • Projected return by metric
    • Adoption and friction review
  2. 02
    AI Experience Build

    We build the opportunity your audit proves. Fixed scope, fixed price, same team from strategy through handoff.

    • AI experience design
    • Production build in your stack
    • Guardrails and fallbacks
  3. 03
    AI Growth Sprints

    Keep improving the AI layer after launch. Book one sprint at a time when the next improvement is clear.

    • Plan against the audit projection
    • Evals and live monitoring
    • One improvement per sprint
Built for people and their agents

Design the layer people use and agents can understand.

Your buyers use agents to research products, and your users will ask agents to complete work inside them. We design the boundaries, sources, and actions for both sides of that interaction.

  • This service

    Agentic website

    A site with clear, machine-readable answers that agents can cite for buyers. Your team keeps approval over what gets published.

    yoursite.com/llms.txt
    • Structured source
    • Machine-readable pages
    • Review before publish
  • This service

    Agentic application

    An agent inside the product that plans and acts with visible steps, clear approval points, and a way to undo the work.

    • Planning
    • Needs approval
    • Completed
    • Handed back

  • Agentic workflows

    Agents that run repeatable work behind the product, with checks, logs, and a human checkpoint when a wrong action is expensive.

    TriggerAgentReviewSystem of record

Not sure which one you need? The AX Audit covers AI and agentic experience: how people use your AI, and how agents read and act on your product.See the AX Audit

The team behind the work

Senior product, design, and engineering in one room.

  • 11companies the team has built insideEmployment and contract work, 2019 to today
  • 13products shipped to productionCounted, not estimated
  • 8industries servedThe same eight on the industries page
  • 7+years shipping softwareFounder, first production release to today
  • 10+senior designers and engineersEvery one has shipped to production
Where the team has built
In their words

Shahriar has a deep understanding of frontend development frameworks and consistently delivers high-quality solutions. He is a valuable team player with excellent communication skills and a proactive approach. I highly recommend him!

ASM Mobarak HossainAI Specialist, IBMWorked together @ShareTrip
Where the layer fits

Where this service does its best work.

A revenue product, a healthcare workflow, and a developer tool need different boundaries. See how the work changes with the context.

Service questions

Questions your team may ask.

StillCurious?Ask us anything about the layer, the process, or what it costs.Talk to Us
Why talk about the core product when we want AI?

The AI layer inherits the product underneath it. If the flow is confusing or the data is hard to trust, the new feature adds weight instead of value. We fix the foundation when it is part of the metric.

Can you improve one part of the product?
Do you deliver working code?
What stack do you build on?
Who owns the code?
How do you keep the build on time?
Can you build a new product from scratch?
Next step

A strong product gives the layer room to work.

A copilot in a crowded dashboard is still crowded. A smart assistant in a flow nobody finishes still loses the user. We make the foundation clear before we ask AI to carry more work.

The audit identifies where AI earns its place. This service gives that layer a product people can understand, use, and keep improving.

Book a discovery call

Build the foundation that makes AI useful.

We shape the product, add AI where it earns its place, and leave your team with a release it can run and improve. Start with the AX Audit to find the right first move.

  • NDA from the first conversation.
  • Response within 24 hours, guaranteed.
  • Founder-led from first call to handoff.
Shahriar P. Shuvo

Every inquiry receives a focused reply within 24 hours. Qualified projects receive a clear proposal within 3 business days.

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