Blog
This blog exists to document how Juxano is built, why certain decisions are non-negotiable, and what tradeoffs exist when building real-time AI systems around sensitive data.
We write when there is something worth recording.
What We Write About
Product Architecture
How real-time audio pipelines, transcription systems, and desktop integrations are designed. What breaks at scale. What we rejected and why.
Privacy & Trust
Clear explanations of data boundaries, anonymization, encryption, and why generative AI training on real conversations is a line we do not cross.
Speech Recognition
Error analysis, latency tradeoffs, multilingual challenges, and how speech models are improved without turning users into datasets.
AI Systems Thinking
Distinctions between assistive AI and autonomous decision-making. Where AI helps. Where it should not be trusted.
Operational Reality
Cost, infrastructure constraints, GPU availability, and the non-glamorous parts of running AI systems in production.
Example Posts
- —Why We Don't Train Generative Models on User Conversations
- —Anonymization Is Not a Checkbox
- —Latency vs Accuracy in Real-Time Transcription
- —What Privacy Actually Costs in AI Infrastructure
- —When AI Should Stay Silent
What We Don't Write
- Growth hacks
- Motivational content
- SEO filler
- Speculative hype
- Press-release masquerading as insight
Intended Audience
- Engineers
- Security and privacy professionals
- Technical founders
- Users who want to understand the system they rely on
If you are looking for marketing narratives, this is not the right place.
Posting Frequency
Irregular by design.
Posts are published when there is something defensible to say.
Posts coming soon.