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

Source Video

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

Method

This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.

Cropped Visible Slides

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: agent_vision.

Slide text:

Why don't Agents behave ?

LLM messes up

Unclear or Incomplete Instructions

Lack of tools or Incorrect usage of tools

Poorly written input/output contracts

Missing the right Context

Limited knowledge of enterprise-specific workflows

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.97
Text source: agent_vision.

Slide text:

Recommended Agentic Architectures

1 Plan-and-Solve

Simple and Sequential multi-step tasks

2 ReWOO

Context Aware, Sequential, Variable-dependent workflows

3 LLM Compiler

Fast, Parallel and Multiple Dependencies

Hidden Non-Slide Evidence

`slide-003.jpg` — title_card confidence 0.99; closing contact slide with QR codes and logos

Classification audit: raw/sources/slide-ai-classification/dense/sl3icG-IjHo/audit.json