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.
Related reading
- “AI-Enabled” Is Accurate. But It’s the Wrong Pitch., the source argument and the substitution test this kit runs.
- The Seed Money Arrived. The Bridge Didn't., the capital-architecture gate waiting on the other side of a correct classification.
- Start here, the flagship diagnostic for founders in the first 18 months post-licence.