Product engineering, design, and agent systems
Inside Anuvaya
Technical notes from the team building Vaya, Terra, Rune, and the systems behind agentic professional services.
Featured
Multi-Agent Conversational AI
What production conversational AI takes once you stop treating it as request-response: instant talk, slow thinking, one hard invariant, and patience for users who don't wait their turn.
Nitesh Kumar Niranjan
5 min read
Writing
Multi-Agent Conversational AI
What production conversational AI takes once you stop treating it as request-response: instant talk, slow thinking, one hard invariant, and patience for users who don't wait their turn.
Nitesh Kumar Niranjan
5 min read
Terra: An Agent Framework Extracted from Production
An Elixir agent framework built on gen_statem. Stateful processes, context aging, multi-agent coordination. Open source.
Nitesh Kumar Niranjan
5 min read
Rune - Long-Term Memory for AI Agents
An append-only knowledge graph that captures how a user's life evolves over time. Deterministic, causal, and fast enough for real-time conversation.
Nitesh Kumar Niranjan
6 min read
Your Eval Is Broken for the Same Reason Your LLM Is
Lessons learned from building LLM evaluation systems - the right prompts, the right context, and knowing what to measure.
Jashn Maloo
9 min read
RCE - Realtime Context Engine
A framework for managing dynamic knowledge bases, temporal data hierarchies, and externalized reasoning chains within conversational AI sessions.
Nitesh Kumar Niranjan
5 min read
Stateful Agent Orchestration - Human-Like Conversational AI
An orchestration architecture that enables human-like conversational behavior with natural delivery pacing, mid-response interruptibility, and graceful recovery.
Nitesh Kumar Niranjan
6 min read
The Boring Designer
A note on the importance of boring design.
Nitesh Kumar Niranjan
2 min read
Follow the work
Subscribe through RSS or use the language-model-friendly index when you need the full technical corpus.