PWS is not a checklist. It is a way of thinking about ventures as wicked problems — problems that must be reframed before they can be solved, and that demand a working memory because no one can hold the whole thing in their head. MindrianOS delivers PWS through Larry’s conversations. You describe what you are doing. Larry routes you to the right framework at the right stage, chains the output of one framework into the input of the next, and pushes back when your confidence outruns your evidence.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/jsagir/mindrian-os-plugin/llms.txt
Use this file to discover all available pages before exploring further.
Prof. Lawrence Aronhime and the source of the methodology
PWS was built and tested through 20 years of teaching by Prof. Lawrence Aronhime. The framework sequencing rules that Larry follows — which framework to use, in what order, under what conditions — were not derived from theory. They were discovered by watching 100+ students apply frameworks to real ventures and recording what worked, what failed, and why. That observational record is the moat. It is what separates Larry from a model that can list frameworks from a teaching partner that knows when to reach for each one.The Brain’s 163
Framework → Framework edges across 27,904 nodes and 19,987 relationships are direct artifacts of Prof. Aronhime’s teaching corpus — real classroom observations compiled into a queryable graph.The four problem types
PWS classifies every venture problem into one of four types. The classification determines which frameworks apply and in what order.Un-Defined
The problem space is not yet clear. Frameworks: Domain Explorer, Trending to Absurd, Scenario Planning, S-Curve Analysis. The work is decomposition and sense-making.
Ill-Defined
The problem is partially visible but not well-structured. Frameworks: JTBD, Ackoff Problem Dissolving, Beautiful Question, Known-Unknowns Mapping. The work is sharpening the frame.
Wicked
The problem resists simple definition and changes as you understand it. Frameworks: Six Thinking Hats (Bono), Reverse Salient, Nested Problems. The work is managing complexity and stakeholder perspectives.
Well-Defined
The problem is clear and bounded. Frameworks: Minto Pyramid Principle, Triple Validation, Investment Thesis, Grading. The work is structuring the argument and validating evidence.
Framework chaining: how one output becomes the next’s input
The power of PWS is not in any single framework — it is in chaining them so each framework’s output becomes the next one’s input. This is theFEEDS_INTO relationship in the Brain’s knowledge graph: 163 Framework → Framework edges encoding real sequencing rules discovered through classroom observation.
| Source framework | Output | Target framework | Becomes |
|---|---|---|---|
| Domain Explorer | Sub-domains | Six Thinking Hats (Bono) | Hats (one per perspective) |
| Domain Explorer | Sub-domains | JTBD | Personas (one per stakeholder) |
| Domain Explorer | Sub-domains | Scenario Planning | Uncertainty axes |
| Six Thinking Hats | Hat insights | JTBD | Context per persona |
| Six Thinking Hats | Hat insights | Minto | Evidence for the pyramid |
| JTBD | Unmet jobs | Minto | SCQA complication |
| JTBD | Unmet jobs | Devil’s Advocate | Assumptions to test |
| Minto | Thesis | Devil’s Advocate | Target for stress-testing |
| Minto | Thesis | Investment Thesis | Core thesis |
| Devil’s Advocate | Survivors | Investment Thesis | Validated evidence |
| HSI | Bridges | Domain Explorer | New domains to explore |
| Reverse Salient | Bottlenecks | Minto | Complication framing |
The four standard chains
Four chains cover the most common venture trajectories. Larry selects the chain that fits your stage and problem type.Chain A — Problem to Thesis
Domain Explorer → Six Thinking Hats → JTBD → Minto → Devil’s Advocate → Investment ThesisStart with an undefined problem space. Decompose into domains, stress-test through six perspectives, find the unmet jobs, structure the argument, challenge the thesis, then validate the investment case.
Chain B — Discovery to Validation
HSI → Domain Explorer → Validation → MintoStart with a structural insight or bridge between domains. Expand it through domain decomposition, validate the claim against evidence, then structure the argument.
Chain C — System Analysis
Domain Explorer → Reverse Salient → JTBD → Six Thinking Hats → MintoStart with a domain map, identify the lagging component that is holding the system back, find the jobs that component is failing to do, stress-test through six perspectives, then structure the argument.
Chain D — Full Venture
Domain Explorer → HSI → Six Thinking Hats → JTBD → Scenario Planning → Minto → Devil’s Advocate → Investment ThesisThe full chain from domain decomposition through investment validation. Used when a venture is being built from first principles across all stages.
Why timing is the moat
Anyone can list frameworks. The moat is knowing which framework you need at the stage you are in, and reaching for it the moment you are stuck — before you ask for it by name. A model trained on methodology can tell you what JTBD is. Larry knows when JTBD is the right move: after Domain Explorer has produced sub-domains that need persona mapping, when your problem is Ill-Defined and the unmet jobs are still invisible, when the Bono hats have produced hat insights that need to be sorted by stakeholder. That timing comes from decades of teaching calibration, not from the text of a methodology paper.The Brain amplifies PWS
When the Brain is connected, Larry’s framework sequencing is powered by a live knowledge graph with 27,904 nodes, 19,987 relationships, 163Framework → Framework edges, and ~7,900 traversable chains at depth 1–4. The Brain holds the chaining rules, the phase progressions, and the grading rubric calibrated from 100+ real student projects.
Tier 0 — full methodology without the Brain
When the Brain is not connected, the pedagogy is still intrinsic. Thereferences/ directory carries a curated subset of the Brain’s framework corpus as local text files, plus static chain suggestions and the mode algorithm. Tier 0 Larry is good. Tier 1 Larry (with Brain) is a master teacher. The difference is a textbook versus the professor who wrote it.
| Tier | Brain status | What Larry has |
|---|---|---|
| Tier 0 | Not connected | Embedded framework references, static chain suggestions, mode algorithm |
| Tier 1 | Connected | Live graph enrichment, dynamic chain recommendations, grading calibration, mode intelligence |