RIVERLINE NOTES

Stories from the systems behind Riverline.

Research notes, engineering lessons, and the work of building AI that can be trusted with real conversations.

Latest from Riverline

Architecture diagram of the shared memory system. A Voice Agent and a WhatsApp Agent each feed a summarization step (Call Summarization and WhatsApp Summarization), and both summaries are written into a single journeyMemory records store. A call-processing pipeline — fetch the recording from S3, do channel separation and run Deepgram on each channel, then block-level align the speaker transcripts — feeds Call Summarization. Previous conversation data and a mapping from the borrower journey to FSM state flow back into the agents.

Darshan Makwana and Aryan Panday

Building Memory Systems for Agents Across Channels

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An iceberg: the small visible tip is what you hear, the huge submerged mass is the systems you never see.

Darshan Makwana

A Step Towards the Best Voice AI Agent of India

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Vedant Shelkar

Improvement Harness for voice agent workflows

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Jayanth Krishnaprakash

Bridge: A command center for coordinating AI coding agents

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Ankit Sanghvi

What an AI-native company feels like

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Jayanth Krishnaprakash

Minions - Part II: When AI Workflows Start Talking to Each Other

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Ankit Sanghvi

Shaastris - Riverline's AI Business-Analysts

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Jayanth Krishnaprakash

Minions: Self-Learning Engineering Workflows with Claude Code Skills

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Vidhan Mertiya

Claude Code as an Orchestrator

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Jayanth Krishnaprakash

Smaller is better: Moving from LLMs to SLMs

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Jayanth Krishnaprakash

How can we evaluate agentic systems?

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Jayanth Krishnaprakash

Agent Engineering is actually Organizational Engineering

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Jayanth Krishnaprakash

AI Agents: Why More is Not Always Better

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Ankit Sanghvi

Learnings from our pre-seed raise

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Ankit Sanghvi

Setting up an evals system for non-engineers, to improve prompts for 10k+ daily conversations by AI-agents

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Abhishek Gupta, Ankit Sanghvi, Jayanth Krishnaprakash

Announcing our $825k pre-seed, to build India’s bank of 2035

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