Cami

The /personality command reassigned how Cami spoke. You could ask for a patient tutor, a blunt editor, or a character from a show, and the reply style changed within the same conversation. Switching back was one more command, which made it easy to compare tones. Longer threads tended to slide back toward the default voice.

Sending a voice message instead of typing produced a written answer, because Cami transcribed the audio first. That suited walking, driving, and any moment when thumb typing feels like work. Background noise cut accuracy, so a quiet room gave noticeably better results than a street corner. Language detection followed the spoken words rather than a manual setting.

Picture requests went to Stable Diffusion and came back as attachments in the same thread, so the tool doubled as an AI image generator in chat. Prompts worked best with a subject, a style, and a mood spelled out, which is the usual learning curve for diffusion models. Text inside generated images came out garbled, as it did across most tools of that generation. Anyone who wanted a polished graphic still needed a design app.

An integration with Perplexity gave Cami access to fresh pages, so questions about scores, prices, or recent releases could land on current information instead of older training data. The bot summarized what it found rather than dumping links. Summaries occasionally missed the point of a page, and nothing was cited in a way you could check quickly.

Cami answered in the language you wrote in, with no menu to set first. That made it a multilingual AI assistant for mixed households and travel, where people switch languages mid conversation. Quality varied by language, and less common ones produced stiffer phrasing. The marketing claim that it could read and write almost any language held up better for reading than for writing.

Beyond the chat integrations, Cami shipped on Android and iOS, with an APK available for sideloading. The apps kept conversation history in one place and worked without WhatsApp or LINE installed. Feature parity lagged behind the messaging version, so early updates usually arrived in chat first.