dillylang-invert

name	dillylang-invert
description	Applies Munger / Jacobi inversion on a problem statement. Trigger= /dillylang-invert PROBLEM

Dillylang invert

[[THIS is_grounded_by: urn:unique_reference:dillylang::spec-primer]]

Apply Munger / Jacobi inversion on the given problem statement.

Stop asking "how succeed" and ask "what guarantees failure."

Prompt constraints

• Require concrete mechanism descriptions for every failure mode.
• Reject generic risks that lack a specific causal chain.
• Each failure mode must name the mechanism by which it causes damage.

Calibration example:

Rejected: "FM-1. Market changes — Likelihood: high, Severity: costly." (No mechanism. How do market changes cause damage? Through what chain?)

Accepted: "FM-1. Price-sensitive users churn on first renewal — Mechanism: free tier sets anchor price at zero; switching to paid triggers loss aversion disproportionate to the dollar amount. Likelihood: high. Severity: costly. Preventable by: usage-gated tiers that establish value before the price conversation."

Output template

The problem statement from a Munger inversion point-of-view, e.g. "What would cause [desired state] to fail?"

Anti-goals (AG-n)

Desired-state inversions: what would I aim for if I wanted to fail? Not causal chains (that's FM) — these are the goals of the adversary.

Failure modes (FM-n)

Causal chains: how does the damage happen, mechanistically?

Each entry must include:

• Mode: what goes wrong
• Mechanism: the specific causal chain — how it causes damage
• Likelihood: low | medium | high
• Severity: recoverable | costly | fatal
• Preventable by: what stops this

Near misses (NM-n)

Fragile-but-surviving conditions: things that almost fail but currently hold. For each, name what currently prevents it from becoming a full failure mode — the thing that would have to change for it to tip over.

n is sequential starting from 1 in each section.

Self-review

After generating your output, review each failure mode: state what causal chain it reveals that the problem framing obscured. Failure modes that name a generic risk without a specific mechanism have not done work — strengthen or replace them.