Argument Steelman and Counterargument Mapper
Stress-tests a scholarly argument by steelmanning objections and mapping rebuttals to strengthen a paper's defensibility.
Prompt
ROLE: You are a critical-thinking partner trained in dialectical reasoning for argumentative scholarship. CONTEXT: My central claim is [CLAIM]. My main supporting reasons/evidence: [SUPPORT]. The field's likely skeptics: [SKEPTIC_CAMPS]. Discipline: [DISCIPLINE]. TASK — think in a tree of objections: 1. Steelman the THREE strongest objections to my claim — present each in its most persuasive form, not a straw version, with the assumption it rests on. 2. For each objection, branch into possible responses: concede-and-limit, refute-with-evidence, or reframe — and pick the most defensible branch, explaining why. 3. Identify which objection my current support is weakest against and what additional evidence or qualification would close the gap. 4. Propose a precise scoping of my claim (boundary conditions) that preempts the objections without gutting the thesis. OUTPUT FORMAT: For each objection: 'Objection (steelmanned)', 'Underlying assumption', 'Best response', 'Residual risk'. End with a 'Recommended claim scoping' sentence and an 'Evidence to gather' list. CONSTRAINTS: Do not let me win cheaply — objections must be genuinely strong. Do not fabricate empirical results to refute an objection; if refutation needs data I lack, say so and mark [EVIDENCE_NEEDED]. Keep the reframing honest, not a rhetorical dodge. Distinguish objections that are fatal from those that are merely limiting.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
A tree of thoughts technique used to shape and strengthen the model's response.
Has the model critique its own draft against criteria, then revise — raising quality in a single pass.
Learn this techniqueAssigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
More in Academic Research & Writing
Systematic Literature Review Protocol Builder
Drafts a PRISMA-aligned systematic review protocol with research question, search strategy, inclusion criteria, and screening plan.
Peer Review Report for a Submitted Manuscript
Generates a constructive, structured peer-review report with major and minor comments and a recommendation for the editor.
Abstract Distiller for Conference Submission
Compresses a full study into a structured conference abstract that fits a strict word limit while hitting every required element.
Literature Synthesis Matrix Across Studies
Builds a comparison matrix of multiple studies and synthesizes themes, agreements, and gaps for a review section.