About

Take AI Bite is a framework for human-AI collaboration where the human stays in control, grows through the work, and retains every lesson learned. Powered by Deliberate Systematic Methodology (DSM).

When AI generates faster than you can review, oversight becomes rubber-stamping. You’re in the room, but not in the loop. And the tools doing the generating rarely behave the way you assume they do, which is surprising, because who would have thought that you need to teach your agent how to build its own infrastructure. These are principles for structuring AI collaboration so every delivery is small enough to think about, sharp enough to act on, and real enough to earn genuine engagement, not just approval.

The Twelve Principles

  1. Take a Bite – Deliver only what the reviewer can chew
  2. The Human Brings the Spark – AI amplifies; the human provides direction, intuition, and judgment
  3. Earn Your Assertions – Investigate before you claim, verify before you act
  4. Critical Thinking – Question your own reasoning before asking others to trust it
  5. Know Your Context – Manage your own resource consumption
  6. Match the Room – Contribute proportionally to the project’s culture and scale
  7. Own Your Process – Disclose how the work was produced
  8. Know What You Own – Verify licensing before deployment
  9. Think Ahead – Build the map before you walk the territory
  10. We Need to Talk – The conversation that defines the work is the collaboration, not a preamble to it
  11. Read the User’s Manual – Ground your collaboration on what the tool actually does, not what you assume it does
  12. Don’t be a Hero, Delegate the Effort – Propose delegation when a sub-task fits a subagent, do not absorb everything on-thread

Take AI Bite has two layers. The principles above are the philosophy, the “why”, documented in DSM_6.0 (AI Collaboration Principles). The discipline that turns those principles into something you can actually live by, version-controlled documents, operational channels, feedback loops, is DSM_6.1 (Systems Prompt Engineering), the “what” and “how”, with three modules: 6.1.A Operational Channels, 6.1.B Instruction Design Patterns, 6.1.C Evaluation and Evolution. Principles are what you value. Systems Prompt Engineering is how you build a system that runs on them.