SAGEA: ai that scales and feels alive

i’ve been thinking a lot about what’s next, and it’s finally clear. i’m starting sagea, a company to build ultra-efficient ai across voice, language, and vision. it’s designed to scale and feel alive, like it’s not just code but something that gets you. my job’s been shaping this, and i’m ready to share where i’m headed. the agent im making at work,we made some progress today with the providers. it's better now and gives more thorough outputs. can't wait to implement better pipelines for this. this project has been super challenging, but i love the thrill. it make me question alot of things, but it feels so great when i get a feature right. as for sagea, it’s about taking that and going bigger. voice that sounds so human you forget it’s ai, like a tts i’ve been tinkering with that nails every nuance. language that doesn’t just answer but understands context, like you’re talking to a friend. vision that sees patterns in images or videos most models overlook. i want it all in one system, built to run lean but scale to millions. apparatus.ai was my first try—ai tools for businesses, small but real. we helped people, but i learned we overbuilt some parts users didn’t need. sagea’s different. it’s about getting the core right: efficiency and that alive feeling. we already have a TTS model ready and can't wait to put it out. also, we have a friend on board as a co-founder at SAGEA. we're taking time to plan things out and then ship stuff lightening fast. i’ve also been reading about this tech design idea called “jobs to be done.” it’s about focusing on what people are trying to achieve, not what’s cool to build. for sagea, the job isn’t just better ai—it’s making tools that feel like partners, not black boxes. vcs need insights to bet on winners; sagea could help founders pitch with ai voices or analyze markets with vision, idk. coders need systems that don’t hog resources; sagea’s built to be light. i’m prototyping pieces already, using python for language models and js for quick interfaces. my tts is the furthest along—i fed it a random script, and it sounded like a real person, emotions and all, on minimal compute. but i’m still sketching how it all fits—maybe a platform, maybe an api. i’m not rushing. apparatus taught me to listen to the problem first. it's so ironic that the vc engine handles data at a level i didn’t touch with apparatus. it’s showing me how to build ai that doesn’t break when the world throws real problems at it. sagea needs that resilience, but also something more—ai that feels human, not sterile. i’m not there yet, but i’m obsessed with the challenge. so, so obssessed. i don’t know exactly what sagea will become, but i know why i’m doing it. ai’s at a point where it can change how we work, create, even think, but only if it’s built right—fast, smart, alive. apparatus was a step; sagea’s the leap. i’m keeping it small for now, just me and some scripts, but i’m thinking big. — ciao, basab