Academic Research & Writing5.0 · 0 ratings

Argument Steelman and Counterargument Mapper

Stress-tests a scholarly argument by steelmanning objections and mapping rebuttals to strengthen a paper's defensibility.

Tree-of-ThoughtsSelf-CritiqueRole-Based

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. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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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.

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