Topic
Why an adversarial, non-sycophantic tree-of-thought exploration before writing a PRD (or plan, outline, offer) produces dramatically better results than jumping straight to the spec.
Target Reader
Knowledge entrepreneurs and operators who use AI to build things — skills, courses, products, content systems — and have been frustrated by specs that look complete but fall apart in implementation. Intermediate AI maturity: comfortable with PRDs and Claude/Code, not yet thinking about the conversation before the document.
The Fear / Frustration / Want / Aspiration
The quiet frustration of doing everything “right” — writing the PRD, making the plan — and still ending up with something that missed the obvious problem. The want: to stop discovering blind spots during the expensive build phase.
Before State
Reader opens AI, says “write me a PRD for X,” gets a confident, well-structured document, builds from it, and hits the blind spots mid-implementation — because the AI documented the idea instead of interrogating it.
After State
Reader inserts a deliberate thinking phase first: an adversarial partner walks the entire solution tree, surfacing assumptions and failure modes before a single spec line is written. The PRD becomes a synthesis of an examined problem.
Narrative Arc
The obvious move (ask for the PRD) has a hidden flaw — it makes the AI assume your idea is correct. The turn: change the AI’s job before the spec from “document this” to “stress-test this, adversarially, across every branch.” The resolution: a two-hour exploration that makes the build phase fast and clean, validated by three people arriving at it independently.
Core Argument
The highest-leverage moment in AI-assisted building is the conversation before the spec — and it only pays off if you run it adversarially, exploring the whole tree, rather than asking the AI to ratify the idea you walked in with.
Key Evidence / Examples
- Lou: “Be my adversarial, non-sycophantic brainstorming partner. Take me through the tree of thought… make sure we don’t miss a single branch. That can take two hours, but the payoff is ridiculously huge. The PRD that comes out is bulletproof.”
- Don Back’s independent same-morning discovery: “I like the output a lot better than going straight to a prompt. The depth of thinking really, really helps.”
- Kasimir tied it to the superpowers chained-gate flow (brainstorm → plan → spec → implement).
- Contrast with Insight - Use a PRD-First Workflow to Build Apps Without Getting Lost — the workflow this upgrades.
Proposed Structure (5–7 beats)
- The seductive shortcut: “write me a PRD” — and why the output feels done but isn’t.
- The hidden flaw: asking for a spec makes the AI assume your idea is right.
- The fix is a posture change: adversarial, non-sycophantic, tree-of-thought.
- What walking the tree actually looks like (branch, prune, defer, one question at a time).
- The convergence evidence — three people, same move, independently.
- The handoff: “now look back through our conversation and write the PRD.”
- The meta-lesson: front-loaded thinking is the cheapest leverage you have.
Related Insights
- Insight - Explore the Whole Tree Before You Write the PRD
- Insight - Tell It What to Do, Don’t Ask It Questions — The Posture That Makes AI Think
- Insight - Rewind, Don’t Re-Correct — Keep Failed Attempts Out of the Context Window
Editorial Notes
Tone: practitioner-confident, not theoretical. The two-hour cost must be framed as the point, not a caveat. Avoid overlap with the existing “Document the Process Before You Choose the Tool” brief (that’s about tool selection; this is about pre-spec thinking). The reusable prompt (tree-of-thought-prep) can anchor the call-to-action.
Next Step
- Approved for drafting
- Needs revision
- Deprioritised