Where you ask the model to think, draft, and explain. mmumble is an AI voice keyboard for iPhone that turns half-thought-out prompts into clean text without losing the qualifications you'd add when talking to a thoughtful collaborator
Claude prompts tend to run longer and more nuanced than the average prompt. The audience skews technical and writerly. Apple Dictation drops words on long inputs, mangles technical terms, and turns specific names of files, projects, and concepts into nonsense. The cost of a bad prompt is the answer not landing.
How mmumble handles Claude
Long prompts hold together. Technical vocabulary handled. The half-thoughts and qualifications you'd add when talking to a thoughtful collaborator come through intact, instead of getting stripped into a flat one-line request.
Voice prompts 3x faster than typing
Long, nuanced prompts arrive fast. The model gets a real question, not a truncated one
iPhone keyboard50 wpm
i'm trying to think through the right architecture for a new internal tool we're building. the basic shape is a multi-tenant dashboard that surfaces metrics from a handful of upstream services. the constraints are that we have to support around fifty teams with their own access controls, we want to keep the build under three months for the first version, and we don't want to commit to a heavy backend now because the requirements are still moving. can you help me think through the tradeoffs between a thin server with a lot of client side work versus a more traditional approach · i'm trying to think through the right architecture for a new internal tool we're building. the basic shape is a multi-tenant dashboard that surfaces metrics from a handful of upstream services. the constraints are that we have to support around fifty teams with their own access controls, we want to keep the build under three months for the first version, and we don't want to commit to a heavy backend now because the requirements are still moving. can you help me think through the tradeoffs between a thin server with a lot of client side work versus a more traditional approach ·
mmumble150 wpm
i'm trying to think through the right architecture for a new internal tool we're building. the basic shape is a multi-tenant dashboard that surfaces metrics from a handful of upstream services. the constraints are that we have to support around fifty teams with their own access controls, we want to keep the build under three months for the first version, and we don't want to commit to a heavy backend now because the requirements are still moving. can you help me think through the tradeoffs between a thin server with a lot of client side work versus a more traditional approach · i'm trying to think through the right architecture for a new internal tool we're building. the basic shape is a multi-tenant dashboard that surfaces metrics from a handful of upstream services. the constraints are that we have to support around fifty teams with their own access controls, we want to keep the build under three months for the first version, and we don't want to commit to a heavy backend now because the requirements are still moving. can you help me think through the tradeoffs between a thin server with a lot of client side work versus a more traditional approach ·
