GitHub Copilot Chat+Amical

AI Dictation in GitHub Copilot Chat

Talk to GitHub Copilot Chat in plain English — Amical formats your spoken architecture decisions and refactor prompts into the structured requests Copilot actually delivers good code on.

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Why typing in GitHub Copilot Chat is slowing you down

Long prompts shrink under typing

Copilot Chat rewards detailed prompts with full architectural context, but typing penalises them. The result is one-line asks that miss the design intent, and Copilot generates code that fits the prompt, not the actual problem you needed solved.

Multi-turn loops break flow

Iterating with Copilot works best as a conversation — refine, retry, redirect. Typing every turn breaks the natural rhythm voice would close: speak the next instruction, see the next code suggestion, repeat without typing fatigue eroding the loop.

Pair-programming wants voice

Pair-programming with Copilot is fundamentally a conversation, not a typing exercise. The friction of typing every prompt breaks the loop voice would naturally close — speak the instruction, let it work, review the output, refine.

GitHub Copilot ChatGitHub Copilot Chat
GitHub Copilot Chat

What Amical does in GitHub Copilot Chat

Architecture-aware tone

Amical knows Copilot Chat is for serious engineering prompts — file paths, function names, design patterns, technical jargon get formatted correctly. Output reads as a precise engineering brief rather than casual transcript Copilot would have to interpret loosely or misroute.

Long instructions in seconds

A four-paragraph prompt that captures real architectural intent — files to touch, constraints, what to leave alone, edge cases — takes a minute to dictate instead of five to type. Copilot has more context and produces better code on the first try instead of three.

Privacy for proprietary code

Many Copilot prompts reference proprietary internal code, sensitive business logic, or unreleased APIs. Amical local-Whisper option keeps every word of your dictation entirely on-device, with cloud models opt-in via your own API key only when you choose.

What you'd dictate in GitHub Copilot Chat

Detailed refactor prompt with files to touch, constraints, and acceptance criteria
Architecture brief covering a feature plan with edge cases and integration points
Pair-programming back-and-forth without breaking out of conversation rhythm

Experience the future of dictation

Local and Cloud Models

Choose from powerful cloud-based AI models or run everything locally for maximum privacy and control. Switch seamlessly between providers to find the perfect balance of speed, accuracy, and security.

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Custom Vocabulary

Customize the AI to recognize your specific terminology, jargon, and proper nouns for industry-specific accuracy and personalized transcription results.

Project PhoenixMcConaughey
CI/CD pipelinek8s
SOC2PostgreSQL
JiraROI metrics
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Custom Shortcuts

Create personalized voice commands and shortcuts to streamline your workflow and boost productivity with hands-free operation.

Multi Language Support

Transcribe and dictate in 100+ languages with native-level accuracy. Switch between languages seamlessly or use mixed-language dictation.

Frequently asked questions

Fast, Accurate, Context-aware and Private

Type 4x Faster with AI

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