Misspoke

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend . What I Built I built MisSpoke , a voice-first AI language practice partner for a friend who wanted to get better at speaking without every conversation feeling like a grammar test. Most language-learning apps are great at vocabulary, streaks, and exercises, but speaking is a different problem. You can know what a…

dev.to ·1h ago

We haven't written up this one. Dev.to has the full story — the link below goes straight to it.

Read the original at dev.to →

More in AI

The Tester's Edge: Why QA Minds Build Better Software with AI

Code got cheap. Judgment didn't. When AI can write a working feature in minutes, the scarce skill is no longer writing code. It is knowing what the code should do, who it is for, and how it will fail.

1h ago ·dev.to

"My local model called a flagged result 'within range', so I stopped letting it do arithmetic"

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend The first time I asked a local model to explain a lab report, it told me a result the report had flagged as high was…

Local model flagged flagged result as within range
Model provided different answer after retesting
Application runs locally on user's laptop

1h ago ·dev.to

Skin In The Game: Why Banks Are Taking Stakes In AI Labs

Rogo, a US-based financial-services AI startup, raised $30 Mn this month. What made this unique was that some of the…

1h ago ·inc42.com

FocusBuddy: A Tiny AI Companion That Helps My Friend Start

What I Built I built FocusBuddy for a friend who wants to study and work but finds it hard to start when scrolling is always one tap away.

FocusBuddy aids friend in starting tasks by offering two-minute commitment.
Tracks user distraction with 60-second scroll breaks and phone usage pauses.
Uses open-weight AI model for optional nudge, stored locally without external transmission.

1h ago ·dev.to

Stop Overpaying for APIs: When to Swap Your Cloud LLM for a Local SLM 🛠️

Let's face it: using an enterprise cloud LLM API to parse basic JSON, route support tickets, or clean up markdown is massive overkill.

Cloud LLMs cause high latency and lack data privacy
Local SLMs provide low latency, 100% privacy, fixed costs
Switch to SLMs for real-time edge/mobile, sensitive text handling

1h ago ·dev.to

Anthropic opens Claude Code to internal Mods

Anthropic has introduced Mods for Claude Code, giving developers a way to alter the coding agent’s behaviour, interface and internal event handling through JavaScript or TypeScript functions running…

1h ago ·thearabianpost.com