Danial Hasan danialhasan

How to Make an Agent Finish the Job

Companion guide for Danial Hasan's talk at the AI Agent-Building Workshop at TMU on August 10, 2026.

Connect with Danial:

LinkedIn: https://linkedin.com/in/dhasandev
X: https://x.com/dhasandev

The Three Layers

BLANK CANVASES — 3-Minute Script

Runtime: ~3:00 | Word Count: ~450 | Pacing: Cinematic narration

COLD OPEN

[IMAGE 1: Utopian Factory — golden light, robots and humans working together]

Claude CLI Print Mode Experiments

Date: 2026-01-08
CLI Version: 2.1.2
Total Experiments: 29

Raw experiment outputs from testing various claude -p flag combinations.

Shafan's Journey: SF Demo MVP User Story

Date: 2025-12-15 Purpose: Reverse-engineer ticket specs from end-user experience Protagonist: Shafan (beta tester, SF Demo target user)

Executive Summary

Short version: you’re walking into a knife‑fight. But it’s not unwinnable, and the shape of the knives is pretty clear.

I’ll break this into:

How I’m segmenting the space (so the “exhaustive” part is sane)
Comparison matrices across the main segments
Where Squad actually slots in vs each segment
Simulated investor panel: what they’d ask, and how I’d answer + real risks

Harness Comparison Matrix

Date: 2025-12-06 Last Audit: 2025-12-08 Purpose: Compare AI coding agent harnesses for Squad integration requirements Status: 2 of N harnesses analyzed (Claude Code, Codex CLI)

Self-Update Protocol

Claude Code Limits → Squad Fixes → User Stories

Date: 2025-12-06 Context: Comprehensive mapping of current limitations and how I'd operate differently in Squad's harness Author: Claude (Manager role, experiencing these limits live)

Overview

Squad Mock Demo Guide

Live URL: https://trysquad.ai Updated: Nov 12, 2025 (Phase 3: Empty→Populated States) For: Demo walkthrough + video recording

TL;DR - Quick Start

Corpora Comparison — 2025-10-31

Data sets: Synthetic (LLM), Synthetic (Manual Humanized), Real Exemplars (LLM-labeled).

Summary Metrics

synthetic: count=6, avg_turns=12.3, avg_words=695.8, avg_wpt=56.4, warmth=4
synthetic_manual: count=3, avg_turns=20.3, avg_words=395.3, avg_wpt=19.8, warmth=3.67
exemplar: count=3, avg_turns=70, avg_words=3543, avg_wpt=48.2, warmth=3.67

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