Services · AI
Real-time AI features, wired into your product.
Streaming AI chat, voice interaction (speech-to-text and text-to-speech), and generated content, integrated into your existing app over WebSocket — with model fallbacks, guardrails, and the latency work that makes it feel live. The same layer that serves Faheem, an Arabic AI tutor used by 200,000+ K-12 students.
Pricing
from $3,000
starting price · negotiable by scope
Is this you?
- You have a product with users and want an AI assistant, tutor, or copilot inside it — not a separate chatbot page.
- You need voice: users speak, the product answers in real time.
- You need Arabic or bilingual AI experiences that handle RTL properly.
- You have a prototype and need it production-grade: streaming, retries, cost control, observability.
What you get
- Streaming chat over WebSocket with token-by-token rendering
- Voice flows: speech-to-text in, text-to-speech out, with interruption handling
- Generated content: lessons, summaries, visuals, structured output
- Model integration (Azure OpenAI or your provider) with fallbacks and guardrails
- Prompt and context management, rate limits, and usage tracking
- Analytics and monitoring for answer quality and cost
How I build it
- WebSocket or SSE transport chosen for your stack, with typed events end to end.
- Built inside your existing app — mobile (Flutter) or web (React/SvelteKit) — as modules, not a bolt-on.
- Tested with real users early: a small cohort, measured, then scaled.
- Handed over with documentation on prompts, limits, and how to swap the model.
What this looks like in practice
- Faheem's tutorArabic answers streamed token by token from Azure OpenAI over WebSocket, and voice-to-voice at a ~300–500 ms round-trip.
- Faheem's AI BoardAI-generated lessons played as one timeline of narration, live subtitles and animated diagrams.
- Smart Quiz and SolveAI-generated quiz questions, and step-by-step solutions from a photo of a maths or science problem.
Technologies
Case studies
How a project runs
Intro call
A free call. You describe the product and what's blocking you; I tell you honestly whether and how I can help.
Written proposal
Scope, price, timeline and payment phases — all in writing before any code is written. You approve it, then we start.
Milestone delivery
You get working, testable software at every milestone, not a status update.
Handoff
Deployment, documentation and a codebase the next engineer can maintain. The code is yours.
Questions about this service
Which AI providers do you work with?
Azure OpenAI in production, on Faheem. Any provider with a streaming API can be wired the same way, and the integration is built so the model can be swapped without rewriting the feature.
Can you add AI to an existing mobile app?
Yes — that is exactly what Faheem is: a Flutter app with real-time tutoring, voice, and an AI board added as modules in a clean architecture. Web apps work the same way.
Does it work in Arabic?
Yes. Faheem is Arabic-first: Arabic chat, Arabic voice, RTL UI. Bilingual products are the norm in my work, not an add-on.
Can you build a whole AI-powered product, not just a feature?
Yes — pair this with MVP development or SaaS platform development. The AI layer is built the same way either way: as modules inside the product, with the model swappable.
Ready to scope it?
Tell me what you're building — in plain words, no technical brief needed — or book a free call. You'll get an honest answer and, if it fits, a written proposal with the price and timeline.