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AI Agent Apps

Production iOS, Android, Flutter and web applications with an AI agent at the core — Generative UI that assembles itself around what the user is trying to do, built for UAE and GCC markets.
Book a scoping call

The product is the agent — not a chat window bolted onto an app

Most AI-in-mobile projects add a chat icon to an existing screen and call it AI. AI agent app development inverts the relationship: the application itself is the agent, and the user interface assembles itself around what each user is trying to do. The customer describes a goal in plain language — design a latte, configure a contract, plan a fit-out, find a property — and a Generative UI surfaces exactly the controls needed at each step, with the agent backbone doing the actual work behind the screen.

The reference for this pattern is the Flutter coffee customisation demo Google showcased at I/O 2026: a single mobile experience where the user describes the drink, an AI agent designs the recipe, generates the latte art and routes the order to the right barista. Big Lab builds the equivalent for your business — on iOS, Android, web and WhatsApp, with an Agent Development Kit backend deployed to Google Cloud Run or your preferred managed runtime, your data and your brand system.

This page covers AI agent app development as a deliverable — design, engineering and App Store submission. For broader context on agent architecture see AI Agents; for coordinated agent backbones see Multi-Agent Systems.

What an AI agent app does for your customers

One screen, every job

Instead of a forty-screen native app, the customer states the goal and the experience generates the right flow around it. Generative UI replaces the dead inventory of menus, tabs and dropdowns that no one reads.

Configure and customise on the fly

From a custom drink to a custom property package — the agent walks the user through choices, generates previews in real time, and confirms the order without ever feeling like a form-filling exercise.

Plain language, real action

The customer says what they want; the app books, orders, schedules, pays or escalates. No catalogue browsing, no support queue — the request becomes the result inside the same conversation.

On-device intelligence with backend muscle

Mobile agents on iOS and Android handle private context, instant reactions and offline cases on the phone; backend agents on Cloud Run or Vertex AI coordinate inventory, payments, voice and document work through A2A hand-offs.

Multilingual by design

Arabic (Khaleeji and MSA), English, Russian, Hindi, French — the agent understands the customer in their language, replies in the same, and keeps the experience identical across markets.

Branded, polished, App Store ready

The interface is yours, not a generic chat shell. Custom design system, motion, native iOS and Android shells via Flutter, full accessibility, App Store and Play Store submission as part of the engagement.

Built across platforms, shipped to real stores

Since 2022
Direct presence in Dubai and the UAE market with a focus on local and international growth.
100+ projects
Across SEO, web development, AI solutions, design, content, and market research.
12+ countries
Project experience across the GCC, Europe, Central Asia, and North America.
10+ industries
Real estate, retail, e-commerce, government, FMCG, beauty, hospitality, and more.

Mira — WhatsApp-native agent app

A WhatsApp-first agent app for the Mira broker network: live inventory, pricing, floor plans and marketing materials across every project, on demand, inside the app brokers already use every day.
Read the case

Mira — property matching app

A buyer enters a brief; the agent queries live inventory, ranks options, generates a visual short-list and books the next step — one chat-style screen, no catalogue browsing.
Read the case

LETOILE — agent-powered customer flows

Agents embedded across the LETOILE customer experience — catalog, content, order, support — surfacing the right action at the right step of the buying journey.
Read the case

Mira — voice-driven app channel

The same agent backend exposed as a voice channel — customers call, the agent qualifies and confirms, and the action lands in the same systems as the mobile and web apps.
Read the case
Mira Developments
Mira Developments
LETOILE
Mira Developments

How Big Lab ships an AI agent app to the App Store

1

Product discovery and intent modelling

We start with the jobs your customer is hiring the app to do. Each job becomes an agent capability — not a screen. The output of discovery is a short list of intents that drive the entire experience.
2

Design the Generative UI system

Instead of fixed screens we design a component library the agent can compose at runtime — cards, choices, previews, confirmations, error states. Brand, motion and accessibility are designed once and reused across every dynamic flow.
3

Build the agent backend on ADK and Cloud Run

The backend is a set of agents — intake, planner, retriever, action, supervisor — implemented with Google ADK or an equivalent SDK, deployed to Cloud Run, Vertex AI Agent Engine or your AWS account.
4

Cross-platform frontend in Flutter or native

One Flutter codebase delivers iOS, Android and web; native iOS and Android are available where the product demands them. The frontend talks to the agent backend over a streaming API, with on-device agents for instant feedback and offline cases.
5

Integrate with your existing systems

CRM, ERP, payments, telephony, WhatsApp Business, your databases — the app connects to what you already run through secured connectors, with the agent’s tool permissions scoped per role.
6

Submit, instrument, iterate

App Store and Play Store submission is part of the engagement. Every agent decision is observable in production, and a weekly tuning cadence keeps the experience improving based on real customer behaviour.

Generative UI in production: what it is and what it requires

Generative UI is the design pattern where the interface is composed at runtime by an agent rather than pre-built by a designer. Instead of a screen with twelve possible inputs, the customer sees the three controls relevant to their goal — a colour swatch, a confirmation button and a price summary — and the next step composes itself once the current one is resolved. The pattern was popularised in 2024–2025 by tools like Vercel AI SDK and Anthropic’s tool-use streaming, and reached production-scale credibility with the Flutter coffee demo at Google I/O 2026.

Done well, Generative UI removes the cognitive cost of navigating an app. Done badly, it produces a chat box that hallucinates buttons. The difference is engineering discipline: a strict component library the agent must compose from, deterministic state transitions between turns, motion that signals causality, and a fallback to a fixed UI when the agent is uncertain. Big Lab treats the design system as a contract the agent is allowed to use — not a suggestion the model can ignore.

Why choose Big Lab for AI agent app development

Book a scoping call
We are an app studio, not a chatbot vendor
Product design, mobile engineering, backend, ML, DevOps and operations under one roof. Big Lab has shipped iOS and Android apps to the App Store and Play Store across MENA, the EU and the US since 2009 — a Generative UI layer sits on top of fifteen-plus years of mobile delivery experience.
Generative UI as a first-class discipline
We design the component library, the composition rules, the motion language and the accessibility behaviour. The agent does not invent UI; it composes from a system. The experience feels considered rather than improvised, and brand is enforced by design rather than hoped for.
Production infrastructure on the latest stack
Google Cloud Run, Vertex AI, Agent Development Kit, A2A and MCP — the same stack Google demonstrated at I/O 2026, deployed in your tenancy with your data residency and your security boundaries. AWS and self-hosted alternatives are equally supported.
On-device and backend agents in concert
On-device agents on iOS and Android handle private context, low-latency interactions and offline cases. Backend agents handle heavy reasoning, tool use and orchestration. Hand-offs between the two are transparent to the customer and observable to your operations team.
Latency tuned for natural conversation
Streaming responses, model selection per agent role, optimistic UI, on-device pre-processing — engineered so the app feels alive rather than like a long loading spinner with AI behind it.
Same team operates the product after launch
Release management, analytics, agent tuning, A/B testing, store ratings, bug fixes — handled by the same engineers who built the app. Quality, store ratings and conversion compound month over month rather than degrading after the launch sprint.

AI agent app development: questions Big Lab clients ask

How is an AI agent app different from an app with a chatbot added in?
An app with a chatbot has a chat icon glued onto a fixed UI. An AI agent app inverts the model — the experience composes itself around the user’s intent through Generative UI. The customer states a goal, the agent runs the work, and the UI generates the right controls for that step. No menus to learn, no forms to fill where the agent can do it instead.
Web, mobile or both?
Usually both. The same agent backend serves your web app, your iOS app, your Android app and a WhatsApp or voice channel. We build the backend once, then expose it through whichever surfaces your customers actually use. Flutter is the default cross-platform path; native iOS and Android are available when the product demands them.
Do you build new apps, or add agents to our existing app?
Both. We frequently add an agent backbone to an existing product — a new generative flow inside the current app, expanding gradually as it proves itself. We also build new apps end-to-end. Either way the agent is the engine, not a feature in the settings menu.
What about App Store and Play Store approval with AI inside the app?
Big Lab has shipped AI-powered apps through both stores. There are clear policies around safety, content moderation and disclosure — we design for them from day one rather than discover them at submission. Submission and review cycles are handled as part of the engagement, including responding to reviewer feedback.
How do you keep latency low for chat and voice inside the app?
Streaming responses, model selection per agent role (fast models for the front-line, frontier models behind), on-device agents for instant feedback, and an architecture tuned for real-time. The standard customer-facing latency target is well under one second for text and around two hundred milliseconds for voice turn-taking.
What does AI agent app development cost?
Pricing scales with platform coverage (single-channel vs multi-channel), integration depth and design complexity. A single-channel agent app — backend, mobile, store submission — is meaningfully less than a multi-channel product with deep CRM and concierge integration. We quote a fixed scope against a fixed price after a paid scoping engagement.
What happens after the app launches?
Weekly tuning of the agent based on real user behaviour, monthly model and SDK upgrades, and feature releases on a sprint cadence. We instrument the app so you can see exactly how the second month outperforms the first, and adjust the design system as the agent learns new compositions.

Related services

AI Agents

The overview service — custom autonomous AI agents from scoping to production, across voice, chat, documents and operations.
Multi-Agent Systems

Coordinated agent swarms using A2A protocol — when one model is not enough.
AI Voice Agents

Outbound and inbound voice agents — multilingual, real-time, with full transcripts.
Agentic Commerce

AI shopping assistants, virtual try-on and conversational product discovery.
Mobile App Development

Native and cross-platform mobile apps — iOS, Android, Flutter, React Native.
Web Apps

Production web applications with custom architecture, integrations and design systems.
UX/UI Design

Design systems and product UX built for clarity, conversion and brand consistency.
AI Chatbots

Conversational agents for support, sales and lead qualification.

Tell us the product that would build itself around the user

A one-week scoping engagement turns your product vision into intents, agent roles, Generative UI components and a fixed-price delivery plan. You keep the plan whether or not we continue.
Book a scoping call