Resources · honest stack
Everything I use. Nothing I’m selling.
No affiliate links. No sponsorships. Just the tools, frameworks, and reading I lean on to ship business analysis and product delivery work for Banking, Financial Services and Insurance teams and hiring conversations.
My AI Stack — $60/month
These are the exact tools I use to build CatalystAgile and the 54 live experiences. No affiliate links. No sponsorships. Just what works for me.
Research & Learning
Perplexity Pro — $20/month
Deep research and conceptual depth. This is where I do the architecture-level thinking behind every Business Requirements Document — Sonnet 4.6 access for nuanced analysis, deep-research mode for primary-source citations, and comparative reasoning across alternative framings before any decision lands in the spec. Perplexity sharpens the questions I ask. The architecture is mine.
Gemini AI Pro — $20/month
Comparative reasoning across long-context material and multi-source synthesis. NotebookLM is the work surface here — I use it to ingest 30 to 40 reference documents at once and surface the patterns. Particularly strong for designing a single Business Requirements Document while driving, listening to videos, audio, podcasts, and interactive slides.
Code Generation
Claude Code — $20/month
My primary building tool. This is where most of the 54 live experiences, Ignite Intelligence v15, Ignite IDE, Ignite AI and this website were built. I describe the workflow, acceptance criteria, and validation path. Claude assists implementation.
Claude CLI — Free
Command-line interface for rapid iteration. Useful for quick changes and debugging.
Project Management
Notion — Free tier
Planning, documentation, content management.
Total: $60/month
Stack cost is incidental. The work is in the brief and the architecture, not the bill.
For practitioners who want to go further: deeper, paid-tier delivery tooling is in build at catalystagile.ca. Launching soon.
The AI Execution Guide
Free download. My complete step-by-step process for building tools with AI:
- Problem identification framework
- How to describe what you want to AI (with examples)
- Testing checklist
- Ship/kill decision criteria
- 15 real examples from my work
- Common pitfalls and how to avoid them
Frameworks I Use
These are the methodologies behind the 54 live experiences. All are well-established, publicly available frameworks.
Agile/Scrum:
- Scrum Guide (Schwaber & Sutherland)
- Richard Lawrence's Story Splitting Patterns
- Spotify Squad Health Check Model
Business Analysis:
- IIBA BABOK Guide
- Behavior-Driven Development (BDD)
- Mendelow's Power/Interest Grid
Prioritization:
- RICE Scoring (Intercom)
- MoSCoW (DSDM)
- Kano Model
- Pareto Principle (80/20)
Strategy:
- OKR Framework
- Build vs Buy Analysis
- Opportunity Cost Analysis
- Change Impact Assessment
Recommended Reading
For Delivery Practitioners Getting Started with AI:
- Start with Claude Code or Gemini AI Pro — get one or both as needed
- Don't try to learn coding. Describe what you want clearly. That's it.
- Build something small first. A calculator. A form. A checklist.
For Understanding the Frameworks:
- IIBA BABOK Guide — the full business analysis competency framework
- Scrum Guide — the foundation of Agile practice
- "User Story Mapping" by Jeff Patton — best book on story decomposition
Community
I'm building this in public. If you're a delivery practitioner experimenting with AI, I want to hear about it.
- What problems are you solving?
- What tools are you building?
- What's working? What isn't?
Reach out: ignatious@catalystagile.com
Or connect on LinkedIn — mention CatalystAgile so I know how you found me.