Blog
Minions - Part II: When AI Workflows Start Talking to Each Other
Part 1 covered how we built self-learning engineering workflows with Claude Code. This one is about what happened when those workflows started talking to each other.
Shaastris - Riverline's AI Business-Analysts
How We Built a Team of AI Analysts for Debt Collection
Minions: Self-Learning Engineering Workflows with Claude Code Skills
Claude Code as an Orchestrator
Smaller is better: Moving from LLMs to SLMs
How can we evaluate agentic systems?
Do traditional ways of evaluating a chat agent work for evaluating AI agents? What will work and what won't? Will human evals still make sense?
Agent Engineering is actually Organizational Engineering
AI agentic systems are nothing but organizations with high reliability, like power grid operators and naval aircraft carriers. What all parallels can we draw from these organizations to make architectural decisions for MAS?
AI Agents: Why More is Not Always Better
While the entire industry is hyped up about fancy multi-agent systems, this blog simplifies everything and talks about a rational framework on making informed decisions while designing AI agent architectures.
Learnings from our pre-seed raise
Setting up an evals system for non-engineers, to improve prompts for 10k+ daily conversations by AI-agents
How we setup a system that helps us track and improve prompt-coverage across 10k+ conversations everyday across AI voice-agent, WhatsApp-agent.
