Blog topic

AI on Mobile

Building AI features into mobile apps without wrecking latency, cost or privacy: integrating hosted AI APIs behind your own backend with streaming and retries, running on-device models with TensorFlow Lite, local LLMs and small language models, generative server-driven UI, and the edge AI architecture behind products like AI Humanizer.

All articles RSS subscription

8 articles

Artificial Intelligence
Nov 1, 202610 min read
Flutter Voice AI: Real-Time Speech Feedback
Add real-time pronunciation feedback in Flutter with speech_to_text: partial results, on-device recognition, word-level scoring, and lessons from Fonetic AI.
Artificial Intelligence
Oct 31, 20266 min read
Integrating AI APIs into a Flutter App
Integrate an AI API into Flutter using lessons from AI Humanizer: Provider request state, timeouts, retries, streaming, and keys kept off the device.
Artificial Intelligence
Oct 24, 20268 min read
Flutter On-Device AI With TensorFlow Lite
Run AI models on device in Flutter with TensorFlow Lite: private by default, offline-capable, faster than any API call. Lessons from a shipped AI skincare app.
Artificial Intelligence
Oct 3, 20266 min read
AI Text Humanizors: Bridging Machine and Human Writing
Explore how AI text humanizors transform raw machine-generated content into natural, fluid, and emotionally resonant writing for creators and brands.
Technology
Oct 3, 20268 min read
Synthesis: How AI Humanizors Are Passing the Turing Test
With the rise of advanced AI text humanizors, the line between human and machine communication is blurring. Are we already living in a post-Turing Test world?
Content Creation
Oct 3, 20267 min read
Working with Humanizor AI: Crafting the Perfect Message
Discover how content creators are leveraging Humanizor AI as collaborative partners to enhance their writing process without losing their unique voice.
AI Architecture
Sep 22, 20266 min read
On-Device SLMs: Why Edge AI Is the Future of Mobile
Cloud AI is expensive and slow. The next frontier in mobile engineering is running 2B-8B parameter models directly on-device with zero latency.
Artificial Intelligence
Sep 17, 20268 min read
Integrating On-Device Local LLMs in Flutter Apps
Stop relying on expensive cloud APIs. Learn how to integrate small, quantized language models directly into your Flutter app for private, offline AI.