How to talk to AI Agents with Finn Brown and Pablo Peniche
In this episode of 1 to 100, Finn Brown and Pablo Peniche of Aqua Voice join Jack and Rishabh to talk about voice input, AI agents, and how people will work with software.
Finn explains the problem that led to Aqua Voice. He has used voice input since school because dyslexia made typing difficult. Aqua builds on that use case with app context, technical terms, acronyms, edits, commands, and faster transcription.
Finn and Pablo describe voice as a way to express ideas before compressing them into text. Speaking lets people think out loud, brainstorm, and give detailed instructions to models. This is useful for programmers who move between coding tools, agents, and terminals.
The conversation covers the limits of voice control. GUIs and terminals were designed around keyboards and mice. Voice works well for dictation, editing, and clear commands. It becomes harder when a user must identify windows, objects, or actions with ambiguous references.
Pablo explains why programmers use Aqua across their workflow. They move between coding agents, chat applications, and editors. A consistent voice layer can preserve speed, accuracy, and context across each environment.
Finn describes a future where voice helps people manage parallel work across humans and agents. A manager could use voice to start loops, review tickets, involve a designer, and monitor the work. The group also discusses meetings that produce clear build instructions.
Meetings often contain conflicting suggestions that sound compatible in the moment. An agent needs project context to identify disagreements and create a clear handoff before other agents begin the work.
They also discuss Aqua’s API and the role of transcription quality in agent systems. Errors at the input stage can spread through the rest of the workflow. Context-aware transcription can help agents communicate with people through voice, text, and other interfaces.
Chapters 00:00 Introspection in Tech: A New Era 01:54 AI Adoption and Enterprise Readiness 04:05 Rising expectations for AI 06:34 Context-aware voice input 08:13 The Role of Voice in Programming Workflows 11:05 Articulating Ideas: The Power of Voice 12:53 Interfaces built for voice 24:13 Parallelization and Voice Integration 25:40 The Virtualized Office Experience 26:43 Synthesis and Clarification in Meetings 28:03 Agent Ecology and Safety 30:10 A voice-driven hackathon 38:23 Empowerment Through Voice Technology 40:37 Differentiating Factors in Voice Technology 50:54 The Future of Voice Solutions in Business