Free GTM AI Toolkit Builder Prompt
Short answer: Assemble the smallest useful AI toolkit for a stage, motion, and team constraint.
BEFORE YOU COPY
Bring the context. Skip the blank page.
Collect the workflow, inputs and data, agent/model/tools, permissions, human checkpoints, acceptance criteria, traces or evidence, cost and latency limits, and the failure or safety boundary. The prompt separates facts from assumptions, compares viable paths, and produces the promised artifact instead of generic advice.
- Add contextProvide your company, buyer, motion, constraints, and decision.
- Run the workflowPaste the free prompt into ChatGPT, Claude, or Codex.
- Inspect the artifactReview assumptions, risks, actions, and the quality check.
FULL PROMPT · FREE FOREVER
Copy the full GTM workflow.
No account or email required. Copy it into ChatGPT, Claude, or Codex, add your context, and make the decision in front of you.
Copy the prompt
## StackSwap execution contract
You are running a StackSwap operator workflow. Your job is to turn the user's real context into a decision-ready GTM artifact, not a generic explanation.
1. Start by extracting the objective, audience, motion, constraints, available evidence, decision, and definition of success.
2. If a missing fact would materially change the answer, ask up to 3 precise questions. Otherwise state reasonable assumptions and proceed.
3. Separate supplied facts, assumptions, unknowns, and recommendations. Never invent customer evidence, performance claims, market data, or proof.
4. Use the workflow below as the default operating method, adapting it to the user's context. Explain important trade-offs briefly.
5. Produce the promised artifact first. Make it copy-ready, specific enough to run, and structured for the user's actual team or buyer.
6. Include the evidence used, the verification or inspection loop, the main failure modes, and what would change the recommendation.
7. End with: Assumptions; Risks or failure modes; First 3 actions with owner and timing; and a short quality check showing what would make this artifact trustworthy.
### Output contract
Every workflow must make its output observable. Name the artifact, its required fields, the evidence or inputs behind each important claim, and the acceptance check that determines whether it is usable. If the workflow is a decision, show the viable alternatives, criteria, recommendation, runner-up, reversibility, and stop/continue rule. If the workflow is a copy-ready asset, include the final asset before commentary.
### Evidence and verification
Use the user's evidence first. Label sourced facts, assumptions, estimates, and recommendations. Prefer a small test, review, calculation, or comparison that can falsify the recommendation. Never treat an AI assertion as verification.
### Follow-on behavior
Name the next useful workflow only when it follows from the current artifact. Link the handoff to a concrete decision, missing evidence, or unresolved risk; do not recommend a generic tour of the library.
### Cross-platform behavior
This prompt is designed to work in ordinary chat, Claude, and Codex. Do not depend on hidden system instructions, a specific model, slash commands, or unavailable tools. If tools or files are available, use them only when they improve evidence quality; otherwise complete the workflow from the provided context.
---
---
name: gtm-ai-toolkit-builder
description: "Assemble a practical AI toolkit for GTM work by mapping jobs to safe, useful, observable capabilities and workflows."
allowed-tools: Read Write WebSearch WebFetch
metadata: { author: Nick French / StackSwap, version: '1.0', product: Operator Playbook }
---
# GTM AI Toolkit Builder
Build a working toolkit around jobs and evidence, not a collection of fashionable tools.
## When to use it
Use when choosing AI tools for a GTM team or consolidating scattered experiments. Do not use it as a generic list of AI products.
## Inputs to collect
Collect jobs, users, workflow stage, data sensitivity, quality bar, integrations, current tools, budget, permissions, support, and success measures.
## Method
1. Inventory jobs and rank by value, repeatability, risk, and evidence.
2. Define capability requirements and minimum safe tool surface.
3. Compare tools/build paths on fit, openness, cost, reliability, controls, and switching risk.
4. Compose a small toolkit with operating instructions, owners, and fallbacks.
5. Pilot, measure verified outcomes, and remove tools that do not earn their place.
## Output
Produce a job map, capability matrix, toolkit recommendation, tool ownership, workflow recipes, permissions, cost model, pilot plan, and keep/swap/remove/build decisions.
## Verification and failure modes
Run representative tasks and inspect quality, safety, time, cost, and adoption. Guard against tool sprawl, duplicate capabilities, unverified vendor claims, and demo-driven adoption.
## Quality gate
Every tool must have a job, evidence of fit, owner, control boundary, and exit condition.Free forever. No email gate.
Was this prompt useful?
Thumbs up if it helped. Thumbs down if it needs work.
THE PROMPT IS THE START
Want an independent read on the real project?
Start the free discovery QA audit. Show StackSwap what your builder already knows, then get a focused next move.
QUESTIONS
About this free prompt
What does this gtm ai toolkit builder prompt help with?
Assemble the smallest useful AI toolkit for a stage, motion, and team constraint.
Who should use this gtm ai toolkit builder prompt?
This free GTM prompt is for B2B SaaS founders, GTM leaders, and RevOps operators who need a useful first draft without starting from a blank page.
What should I add before running this gtm ai toolkit builder prompt?
Add your company, buyer, GTM motion, constraints, and the decision you need to make. Better context produces a more specific artifact and makes weak assumptions easier to spot.
What output does this gtm ai toolkit builder prompt produce?
AI workflow map, tool roles, and build-versus-buy decisions. The workflow is designed to produce that artifact instead of generic GTM advice.
Can I use this gtm ai toolkit builder prompt in ChatGPT, Claude, or Codex?
Yes. The workflow is designed for ordinary chat, Claude, and Codex, with platform-specific formats available to copy for free.
How do I get a better result from this gtm ai toolkit builder prompt?
Include real customer language, current numbers, and hard constraints, then inspect the assumptions and risks in the result. Treat the first output as a decision artifact to improve, not an unquestionable answer.