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Harvard Data Science Review · Agentic AI Intensive · April 2026

The
A.G.E.N.T.
Playbook

Redesigning software delivery for agentic AI

A practitioner's field guide: Audit, Gauge, Engineer, Navigate, and Track — applied to real client delivery workflows at Soft Pyramid LLC.

By Fakhar Khan

Framework

A · G · E · N · T

Audit — map the workflow
Gauge — score outcomes
Engineer — redesign agent-first
Navigate — human-agent trust
Track — measure what matters

Case study: Implementation & integration · CI triage + MR review pilot

Program credential

Harvard Data Science Review

This playbook grew out of Agentic AI: Contextualized and Applied, a 2.5-week intensive presented by Harvard Data Science Review (April 14–30, 2026).

The A.G.E.N.T. framework and pilot charter in these pages are applied practitioner work — not official Harvard curriculum — but the program shaped how the workflows were audited, scored, and measured.

Verification code: KKNW-EQWZ

Harvard Data Science Initiative certificate of completion for Fakhar Khan — Agentic AI: Contextualized and Applied, April 14–30, 2026
Certificate of completion · Presented by Harvard Data Science Review
Fakhar Khan

About the Author

Fakhar Khan

Fakhar Khan is Founder & CEO of Soft Pyramid — an enterprise architect, Certified Laravel Expert, and Pakistan’s first n8n Creator. He writes practical guides on agentic AI, Laravel, and leadership from Frisco, TX and Lahore.

Visit fakhar-khan.com