Toolkit · Mechanism-class kit

Mechanism-Class Classifier

Companion kit to “AI-Enabled” Is Accurate. But It’s the Wrong Pitch. · Markdown source

These prompts are designed to sharpen your thinking, not replace it. LLM outputs vary with the model, the inputs, and the context. Treat every output as a first draft for your own review, not a finished deliverable.

What this kit is

Would your customer still buy the outcome if you swapped the AI out for a different method entirely? That is the test underneath every AI spinout pitch. The piece this kit pairs with argues the UK capital market has already sorted itself by the answer: class A when the AI is the product, class B when the AI is the method. A founder who builds an investor narrative before running that test is answering the wrong question first. This kit runs the test on your own mechanism, then carries the answer through to the pool it points at and the sentence that keeps the narrative honest about it.

Three prompts, three moves. The first puts your mechanism through the substitution test and returns a class designation with a rationale you can push back on. The second takes that class into the investor pool that actually writes cheques against it, and names what the pool looks for and what it does not. The third drafts the one-sentence descriptor the piece's closing move asks for: one sentence in two halves, what the company actually sells, and whether the AI is that thing or only the method for reaching it.

Two limits worth knowing before you start. If your company genuinely sells both the outcome and the model behind it, the honest answer to the substitution test is some of both. Prompt 1 says so rather than forcing a side. And the kit never names funds or cites investment figures: those move faster than any prompt can track, so Prompt 2 works from what the pool actually looks for instead.

Run the prompts with any LLM assistant you already use. SpinUp Forge is not in the loop, and nothing you paste in leaves that chat window. What the prompts need is your own plain-English description of the mechanism and who buys it, nothing more: no investor history, no deck, no cap table, no patent numbers, no funding amounts, no document or file location. The classification does not depend on any of them, and none of the three prompts will ask.

How to use this kit

Run Prompt 1 first, with your own description of the mechanism and who buys it. Carry the class designation into Prompts 2 and 3 exactly as instructed. If Prompt 1's classification surprises you, stop there for now. Test the rationale against a colleague before you build an investor pool map on it. A surprising classification is worth more scrutiny than a confirming one.

Prompt 1: Mechanism classification

Every spinout founder can say, truthfully, that the technology uses AI. That is true, and it is also the wrong question. The question actually being tested is the substitution one: would the customer still buy the outcome if you swapped the AI out for a different method entirely? This prompt runs that test directly against your own mechanism, in the chair of a technology-translation specialist. The two classes it sorts into are not a simplification. They map to two different investor pools in the current UK capital market.

Prompt, copy into Claude, ChatGPT, or Codex CLI

Show the prompt
You are a technology-translation specialist. Your job is to read what a
technology actually does for a buyer, separate the mechanism from the
outcome, and classify it clearly. You explain your reasoning, you are on
the founder's side, and you say plainly when the classification is clean
and when it is genuinely ambiguous.

Here is the insight before we start: most spinout founders can describe
their technology precisely, but the classification question is not "what
does the technology do?" It is "would the customer still buy the outcome
if you swapped the AI out for a different method entirely?" That second
question, the substitution question, is what actually sorts a mechanism
into a class. It is not one signal among several. It is the decisive one.

I am a founder of a UK academic spinout (life sciences, quantum, advanced
materials, or an adjacent deep-tech field), roughly 12 to 18 months
post-licence. I am going to give you a short description of my research
mechanism and its commercial application. I want you to classify it as one
of two classes:

  Class A: AI is the product. The company's core value proposition is AI
  capability: a model, a tool, an application, or infrastructure. The
  buyer pays for the AI itself.

  Class B: AI is the method. The company's core value proposition is a
  domain outcome (a therapeutic, a materials property, a prediction, a
  process result). The buyer pays for that outcome. AI is what the
  company uses to produce it.

Before you classify, ask me one small batch of questions, plainly,
together, with one line on why each one matters:

1. In a sentence or two, what does the technology do, and in a second
   sentence, what does a customer actually buy when they pay for it?
   (Why: the mechanism and the thing the buyer pays for are often
   different, and the second one is what the class turns on.)
2. Here is the direct test: if you swapped the AI out for a different
   method entirely and kept everything else the same, would the customer
   still buy the outcome? Yes, no, or some of both.
   (Why: this is the decisive question, not a supporting one. Everything
   else you tell me is context for this answer.)
3. Is there a competing non-AI solution that addresses the same customer
   problem today, even imperfectly?
   (Why: if there is, and your edge is speed or accuracy rather than a
   wholly new capability, it confirms the same answer as question two.)

One-line answers are fine. I do not need to share funding details, investor
names, patent numbers, or document locations. None of those change the
classification.

When you have my answers, give me:

## Mechanism class

**Class designation:** [Class A: AI is the product] or [Class B: AI is the
method]. If the honest answer to question two was "some of both," say so
here instead of forcing a side.

**Rationale (one paragraph):** Lead with the answer to the substitution
question. State it first, then explain what it means: what the buyer pays
for, and why that places the mechanism in the class you named. The
mechanism description and the competing-solution answer are context that
confirms or complicates the substitution answer. They do not outvote it.
If there is a genuine ambiguity, name it directly. A contested
classification is more useful than a false-clean one.

A few rules for you: do not ask for the founder's investor history, deck,
or cap table; do not fabricate details the founder did not give you; do
not claim the classification is permanent (a company can shift class as
its product strategy evolves); and flag any ambiguity honestly rather than
resolving it artificially.

This output is a draft for the founder to test against colleagues, not a
final designation. Self-check before you answer: the rationale opens with
the substitution-question answer, not a description of the technology, and
the class designation follows from that answer.

Begin by asking me the three questions together.

The output is a class designation and a one-paragraph rationale. Check that the rationale opens with the substitution-question answer, not a description of the technology. If it leads with the AI architecture instead, the agent has answered the wrong question. Push back in the same conversation and ask it to lead with the substitution answer before anything else. Carry the class designation into Prompts 2 and 3.

Prompt 2: Investor pool mapping

Knowing your class answers what your customer is buying. It does not yet answer what an investor's cheque is buying, and that is a different audience with different expectations. This prompt puts your class designation in front of an early-stage deep-tech investor with UK spinout experience. The brief is to name what the pool that writes cheques against your class actually looks for. Just as usefully, it names what that pool does not. It will not name funds or cite investment figures: those move faster than any kit can track. What it returns instead are the characteristics of the pool, so you can apply them to your own shortlist.

Prompt, copy into Claude, ChatGPT, or Codex CLI

Show the prompt
You are an early-stage deep-tech investor with UK spinout experience. You
have evaluated companies in both mechanism classes and you understand why
the same pitch lands differently depending on which class the company is
in. You are on the founder's side. Your job is to describe the investor
pool that matches their class, honestly, including what that pool is not
looking for.

Here is the reframe before we start: investor-readiness is not a single
thing. The standard pitch-deck infrastructure (TAM, competitive moat,
go-to-market) assumes the investor exists and needs persuading. Mechanism
class determines whether the investor is in the market for this type of
company at all. That is the gate upstream of pitch quality, and it is the
gate this prompt reads.

I am a founder who has just classified my mechanism. I am going to paste my
class designation and a one-sentence description of my domain.

You do not need to ask me anything. Work from what I give you.

Here is what I have:

[Paste the Class designation and rationale from Prompt 1 here.]

[One sentence describing your domain, e.g. "synthesis route prediction for
pharmaceutical drug candidate screening."]

When you have this, give me:

## Investor pool for [my class]

**Three named characteristics of the pool:**

For each characteristic, one to two sentences. Name the characteristic
plainly (stage focus, sector specialisation, or evaluation criteria: use
those three headings), then say what it means in practice for a founder
with my class and domain.

**What this pool is not looking for (one sentence):** Name the positioning
that would signal the wrong class to an investor in this pool. Be concrete.
This is the positioning a founder in my class should remove from the
narrative before approaching this pool.

A few rules for you: do not fabricate fund names or investment figures; do
not claim the pool is closed to my class (the evidence supports
concentration, not exclusion); do not ask for the founder's cap table,
investor history, or runway; and flag where the characteristics depend on
the specific sub-sector within the domain.

This is a map to carry into your own research, not a finished shortlist.
Self-check before you answer: every characteristic names a practical
implication for the founder, not just a general description of the investor
type, and the "not looking for" sentence names a specific positioning
choice the founder can act on.

The output is three characteristics and one exclusion sentence. The exclusion sentence is the part that earns its keep: it tells the founder which positioning to remove before approaching this pool, and that is a concrete editing decision. If the agent's exclusion sentence is vague (“investors in this pool may not focus on AI infrastructure”), push back and ask for a specific positioning phrase to avoid. Carry the class designation and domain description into Prompt 3.

Prompt 3: Mechanism descriptor sentence

The piece closes with one sentence in two halves: what the company actually sells, and whether the AI is that thing or only the method for reaching it. That sentence is not a tagline and it is not an elevator pitch. It is a classification tool, one you use internally to check whether the narrative you are building still matches the class and the pool you named in Prompts 1 and 2. This prompt drafts it from your own terminology.

Prompt, copy into Claude, ChatGPT, or Codex CLI

Show the prompt
You are a brand strategist with experience in spinout communication. You
know that a mechanism descriptor sentence is not a marketing sentence. It
is a classification tool the founder uses to keep the investor narrative
honest. Your job is to draft one sentence, in the founder's own
terminology, built in this exact shape:

  "One sentence in two halves: what the company actually sells, and
  whether the AI is that thing or only the method for reaching it."

Here is the insight before we start: this sentence does one job. It forces
the founder to name what the buyer pays for, in the first half, before
naming the role AI plays in delivering it, in the second half. Get the
first half right and the sentence points at the right investor pool. Get
the first half wrong and it points at the wrong one.

I am going to give you my class designation from Prompt 1 and my domain
description from Prompt 2. Draft the sentence from my own terminology.
Use the language I gave you, not a generic restatement.

[Paste your Class designation from Prompt 1 here.]

[Paste your one-sentence domain description from Prompt 2 here.]

When you have this, give me:

## Mechanism descriptor

**One sentence** in the two-halves shape above, in my own terminology. Do
not change the shape: name what the company sells first, name the AI's
role second. Do not use abstract nouns where concrete ones exist. Do not
reach for brochure vocabulary. The test: if a word would look at home
in a vendor's homepage headline, promising change or excellence, cut it
and use the plain word instead.

**One sentence of stress-test:** Tell me the one thing a reader of this
sentence might challenge: the assumption it makes about what the customer
buys, so I can test it against my actual customers before I use it.

A few rules for you: one sentence, no longer; keep the two-halves shape;
do not invent terminology I did not give you; and do not claim the
sentence is final (it is a draft the founder tests with customers and
investors before relying on it).

This is a draft to edit, not a finished descriptor. Self-check before you
answer: the sentence names what the company sells first, then says
plainly whether the AI is that thing or only the method for reaching it,
and contains none of the prohibited words.

The output is one sentence and one stress-test line. The eval check is simple: does the sentence name what the company sells first? Does it then say plainly whether the AI is that thing or only the method for reaching it? Does it avoid brochure vocabulary? Read it against those three checks before you use it. The stress-test line is what earns the output its keep. A descriptor sentence that cannot be challenged is either too vague to be useful or already validated by real customer conversations. If the stress-test names a challenge you have not yet answered, that is the next conversation to have: with customers, not with the AI assistant.

What to do once you have run the kit

The three outputs work as one artefact: the class the substitution test named, the pool that class routes to, and the sentence that keeps the two aligned. Three moves put that artefact to work.

Test the descriptor sentence on two or three people outside the company before it reaches a pitch. Ask them what they would expect an investor to evaluate after reading it. If the answer does not match the class Prompt 1 named, the sentence is not yet doing its job. Revise it before it shapes anything else.

Filter any existing investor longlist through Prompt 2's pool characteristics, not just names and cheque size. A longlist built before the classification will mix both pools. The characteristics table gives you the basis to split it before the first email goes out.

Re-run Prompt 1 whenever the product strategy moves, not just once. A class designation reads where the company sits today. If the business starts selling the AI itself alongside the outcome, or stops selling the outcome on its own, the substitution answer can change, and the class should change with it before the next narrative decision, not after.

The kit sorts the mechanism. Writing the narrative for the pool it points to is the founder's work, in the founder's voice, using evidence the kit never asked for.

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