In short: This topic archive groups articles about voice assistants, speech and dialogue. For readers following a theme, it connects older material with current explanatory guides. Archive membership is a subject label, not a guarantee that every historical statement is still current.
How should I use the voice archive?
Use the archive to find related reading, then check the individual article’s context and sources. For a current overview of assistant, agent or model roles, follow the dedicated guides rather than treating an older product idea as a current specification.
Voice
From a Georgian voice assistant to business action — how OMO works
A fluent conversation is only the beginning. A completed task means that the action agreed with the caller actually happened in the right system and that its outcome can be checked.
An AI Automation Stack for Georgian Companies: Where to Start
The common mistake is trying to build everything at once. A useful stack begins with the questions customers ask most often, not the most complex integration.
What is the difference between the archive and the model pages?
The archive organizes articles by topic. The model pages explain TTS, STT and LLM separately, including evaluation questions and scope. A historical article may discuss an idea without documenting a current model version or access method.
Where can I find a practical business workflow example?
The OMO article explains the path from a Georgian conversation to a confirmed business action. It includes a relationship disclosure and source limits. Read those notes before interpreting the example as evidence about production performance.
Does this page republish old articles with new dates?
No. Article URLs and available publication dates are retained. The date on this collection records its own editorial review, not a new publication date for each linked text. Unknown historical dates are not filled with guesses.
The model and service descriptions are Ertaoza’s own information. The following original media sources document historical public context, not an independent performance benchmark.