Yogendra Miraje

Skills are new features: Building Skill-Centric Harness — Yogendra Miraje, FactSet

Jul 29, 2026 · 17:24

Yogendra Miraje, Principal AI Engineer at FactSet, argues that skills are the new features in agentic products, replacing traditional UI buttons and screens. He describes a minimal skill registry with name, description, and path, using progressive disclosure to load only relevant skill bodies. Trigger words in descriptions act as routing signals, with the example of 'PDF' directing the agent to the correct report skill. He warns that skills without evals drift when models change, citing a case where a new model ignored instructions at the end of a skill. Beyond ten skills, embeddings and similarity search are needed; past a hundred, governance becomes non-negotiable, requiring admission, ownership, versioning, periodic audits, and allowlist tools for boundaries.

How to Build Planning Agents without losing control - Yogendra Miraje, Factset

Jul 23, 2025 · 15:58

Yogendra Miraje from FactSet explains how to build controllable planning agents using agentic workflows and planning by subgoal division, arguing they balance reliability and flexibility for enterprises. He distinguishes workflow agents (static) from agentic workflows (dynamic), and introduces a blueprint generator that pre-selects tools and provides high-level natural language plans to reduce planner cognitive load. He details an architecture using LangGraph nodes (blueprint generator, planner, executor, joiner) and emphasizes designing tools from an agent's perspective with clear purpose, description, and contracts. Miraje stresses evals using code-based and LLM-as-judge techniques, and advises against agentic workflows for fixed tasks, strict compliance, or low-latency needs. The talk includes a concrete example of preparing for NVIDIA's earnings call, showing how blueprints enable structured responses and interpretability.