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ChatGPT16 min read

100+ ChatGPT Prompt Templates for Every Use Case (Free Library, 2026)

100+ tested ChatGPT prompt templates organized by use case. Marketing, code, research, creative, ops. CRAFT-formatted, copy-paste, fill the variables.

NH
Nafiul Hasan
Founder, Prompt Architects

title: "100+ ChatGPT Prompt Templates for Every Use Case (Free Library, 2026)" slug: "09-100-chatgpt-prompt-templates" description: "100+ tested ChatGPT prompt templates organized by use case. Marketing, code, research, creative, ops. CRAFT-formatted, copy-paste, fill the variables." publishedAt: "2026-06-25" updatedAt: "2026-06-25" postNum: 9 pillar: 1 targetKeyword: "chatgpt prompt templates" keywords:

  • "chatgpt prompt templates"
  • "free chatgpt prompts"
  • "ai prompt library"
  • "chatgpt templates 2026"
  • "prompt examples" ogImage: "https://prompt-architects.com/og/09-100-chatgpt-prompt-templates.png" author: name: "Nafiul Hasan" role: "Founder, Prompt Architects" url: "https://prompt-architects.com/about" ctaFeature: "library" related: [2, 3, 5] faq:
  • q: "Are these ChatGPT prompts free?" a: "Yes — every template below is free to copy, use, and adapt. No signup, no paywall. The variables in brackets are what you fill in. The frameworks (CRAFT, Chain-of-Thought, CARE) are public; only the curation is ours."
  • q: "Do these work on Claude and Gemini too?" a: "Most yes. CRAFT-formatted prompts transfer directly. Some prompts that rely on specific ChatGPT features (custom GPTs, code interpreter) need adaptation. Test each on your target model — adjustments are usually minor."
  • q: "How do I save these templates for daily use?" a: "Three options. (1) Save into your prompt manager — Prompt Architects, AIPRM, FlashPrompt all support templates with placeholders. (2) Save as snippets in TextExpander, Alfred, or Raycast. (3) Save in a Notion/Obsidian doc and copy-paste. Cross-tool sync wins long-term — paste in once, use everywhere."
  • q: "Why do ChatGPT outputs vary even with the same template?" a: "Three reasons. (1) Default temperature 0.7 introduces randomness. Set temp to 0 for deterministic output. (2) Model versions update — same template can perform differently after a model upgrade. (3) Your variable filling matters — vague variables produce vague output. Specific variables produce specific output."
  • q: "Should I trust ChatGPT-generated content blindly?" a: "No. Templates produce drafts, not finished work. Always edit for accuracy (ChatGPT hallucinates), voice (default ChatGPT-ish phrasing), and AI tells (em dashes, 'in summary' openings, balanced both-sides hedging). The template does the structure work; you do the judgment work."

TL;DR: 100+ tested ChatGPT prompt templates across marketing, code, research, creative, ops. CRAFT-formatted. Copy, fill variables, ship. Bookmark this page.

How to use this library

Each template uses CRAFT (Context, Role, Action, Format, Tone) or RTF (Role, Task, Format) framework. Replace [bracketed variables] with your specifics.

For repeated use, save into your prompt manager — Prompt Architects, AIPRM, FlashPrompt, or any tool with templates + placeholders. Cross-tool sync wins long-term.

Marketing & Copy (20)

1. Headline generator

Role: Senior copywriter, 10y B2B SaaS experience.
Task: Generate 10 headline variants for [product] targeting [audience].
Constraints: ≤ 8 words each. Mix benefit (3), curiosity (3), problem-agitate (4).
Format: Numbered list with 1-line rationale per headline. Rank top 3 by predicted CTR.
Tone: Confident, specific, no buzzwords.

2. Subject line A/B

Email purpose: [purpose]. Audience: [segment].
Generate 30 subject lines: 10 curiosity, 10 benefit, 10 question.
Constraint: ≤ 50 chars, no spam triggers.
Rank top 5 by predicted open rate.

3. Cold outreach

Recipient: [name + company + role]. Sender: [your role + offer].
Goal: 15-min call. Write 3 cold email variants ≤ 90 words each.
Open with recipient-specific observation, single CTA, value-add PS.

4. Landing page hero

Product: [product]. ICP: [audience]. Offer: [offer].
Generate 10 hero headline variants ≤ 12 words.
Mix: benefit (4), problem-agitate (3), curiosity (3).
Rank top 3 by predicted conversion. For top 3 add matching subhead.

5. Ad copy (Meta)

Product: [product]. Audience: [audience]. Funnel: [TOFU/MOFU/BOFU].
Write 3 Meta ad variants: primary text ≤ 125 chars,
headline ≤ 27 chars, description ≤ 27 chars.
Plus 3-line image brief per variant.

6. Ad copy (Google RSA)

Keyword: [keyword]. Product: [product]. USP: [USP].
Generate 5 RSA groups: 3 headlines × 30 chars + 2 descriptions × 90 chars.
Variants: pain, benefit, social proof, price, FOMO.

7. LinkedIn post (operator voice)

Topic: [topic]. Audience: [B2B founders / CMOs].
Write 200-word LinkedIn post: provocative claim, 3 supporting points,
1 contrarian observation, soft conclusion.
Tone: opinion-driven, not corporate.

8. Twitter thread

Topic: [topic]. Hook angle: [contrarian/data/personal].
Write 10-tweet thread: tweet 1 hook ≤ 200 chars,
tweets 2-9 one insight each, tweet 10 synthesis + soft CTA.
Voice: confident, specific, no buzzwords.

9. TikTok hooks

Topic: [topic]. Generate 10 first-3-second hooks.
≤ 12 words. Tag each: question, contrarian, list, problem-agitate, curiosity.

10. Instagram caption

Image description: [describe]. Brand voice: [voice].
Generate 5 captions: 1 short (≤50 words), 2 medium (100), 2 longer (150).
Include 5 niche + 5 medium + 5 broad hashtag suggestions.

11. Press release

News: [news]. Company: [company].
Write 400-word press release: dateline, headline ≤ 8 words,
subhead, lede, 2 supporting paragraphs, exec quote 40-60 words, boilerplate.

12. Case study

Customer: [name + size + industry]. Outcome: [metric].
Write 1500-word case study: hook (50w), problem (200), approach (300),
implementation (400), results (300), takeaway (100), pull-quote.

13. About page

Founder: [name + bg]. Company: [name + product + year].
Mission: [mission].
Write 400-word About: founding story, problem, insight, solution, vision.
Tone: human, specific, no MBA-speak.

14. FAQ generator

Product: [product]. Audience: [audience].
Generate 12 FAQs grouped: pricing (3), features (3), setup (3), trust (3).
Each Q natural-language, A 40-80 words covering objection.

15. Sales objection handler

Objection: [objection]. Product: [product]. Audience: [audience].
Write 3 response variants. Each: acknowledge, reframe, evidence, soft close.
80 words max.

16. Welcome email sequence

Product: [product]. ICP pain: [pain].
Write 5 emails: D0 confirmation, D1 quick win, D3 deeper feature,
D5 social proof, D7 conversion.
Each: subject + 80-150w body + 1 CTA.
Tone: helpful, specific, not pushy.

17. Re-engagement email

Audience: subscribers inactive 90+ days.
Write 3-email sequence: E1 we miss you, E2 here's what changed,
E3 last chance. Each: subject + body + CTA.

18. Newsletter section

Updates: [paste 3 updates]. Audience: existing customers.
80-word intro, 3 update blocks (40w each, 1 link), CTA.
Tone: informational, not pushy.

19. Brand voice document

Brand: [brand]. Founder samples: [paste 3 examples].
Distill: 5-7 voice attributes, 3 phrases we always say,
5 phrases we never say, tone matrix per channel (web/email/social/support).

20. Content calendar

Niche: [niche]. Pillars: [3-5 pillars].
Generate 12-piece calendar (3/week × 4 weeks).
Table: week, pillar, format, working title, target keyword, intent.

Code & Engineering (20)

21. Function from spec

Language: [TS]. Task: [description]. Constraints: [pure / no deps].
Inputs: [type sig]. Outputs: [type sig]. Edge cases: [list].
Walk through: algorithm → edge cases → complexity → impl → 5 unit tests.

22. CRUD endpoint

Stack: [Next 16 + Drizzle + Postgres]. Resource: [name + 5 fields].
Generate full CRUD: GET list, GET [id], POST, PATCH, DELETE.
Include: Zod schema, error handling, auth check, pagination.

23. SQL query optimizer

Query: [paste]. Schema: [paste]. Sample: [N rows].
Step by step: what does it do → where's the cost →
what indexes help → can it be rewritten → final + reasoning.

24. Migration writer

Schema change: [description]. DB: [Postgres].
Write idempotent migration: DDL + data backfill + rollback + verification.
Walk through: large table size, locks, concurrent writes.

25. Stack trace parser

Stack trace: [paste]. Code: [paste].
Walk through: which line throws → state that caused it →
immediate cause vs symptom → top 3 hypotheses → fix + test.

26. Chain-of-Thought debug

Code produces [bug]: [paste].
Walk execution step by step. Where does behavior diverge?
Root cause? Minimal fix? Output corrected code with comment at change site.

27. Refactor for testability

Code: [paste].
Refactor without changing behavior: extract pure functions,
inject dependencies, reduce arity. Walk reasoning per change.
Output refactored code + 5 unit tests.

28. Code review with criteria

Diff: [paste]. Senior reviewer.
4 dimensions: correctness, performance, security, maintainability.
For each: comments under H3. Severity: blocker/suggestion/nit.

29. Test coverage gap

Code: [paste]. Existing tests: [paste].
Identify untested branches/edge cases. For each gap:
test name, input, expected output, why it matters.
Suggest 5 highest-leverage tests sorted by impact.

30. Security review

Code: [paste].
Trust boundary? User-controllable input? Auth check correct?
Common vulns: SQLi/XSS/SSRF/CSRF/IDOR — applicable?
Output severity-tiered findings.

31. JSON entity extractor

{
  "task": "extract_entities",
  "input": "[text]",
  "output_schema": {
    "name": "string",
    "company": "string",
    "topic": "string",
    "urgency": "low | normal | high"
  }
}
Respond as JSON matching schema. No prose, no code fences.

32. PR description from diff

{
  "task": "summarize_pr",
  "input": "[diff]",
  "output_schema": {
    "title": "string ≤ 70 chars conventional commit",
    "summary": "string 3-5 sentences why over what",
    "test_plan": ["string"],
    "breaking_changes": "boolean",
    "migration_steps": "string | null"
  }
}

33. Issue triage

Issue body: [paste].
Output JSON: type (bug/feature/docs/question), severity (p0-p3),
reproducible (bool), missing_info (array), suggested_label (array),
first_response (≤100w in maintainer voice).

34. README writer

Project: [name]. Does: [1-line]. Stack: [list].
Generate README: hero (badges + 1-line), quick start (3-step),
usage (3 cases with code), config (env vars table), contributing, license.

35. API doc from code

Code: [handler/function].
Generate: endpoint, method, auth, request schema (with examples),
response schema (with examples), error codes, rate limits, idempotency notes.
Format: markdown H3 sections.

36. Migration guide v1→v2

Breaking changes: [list].
Generate migration guide: summary table (changed/why/severity),
per-change before/after code, mechanical steps, validation, rollback, FAQ.

37. Performance profiler interpreter

Profile output: [paste].
Identify top 3 hot spots ranked by self-time.
For each: what's hot, why, suggested optimization, expected lift.

38. Convert callback to async

Code: [callback chain].
Convert to async/await preserving behavior. Map each callback to
awaited promise. Handle errors. Output refactored + comments at non-trivial.

39. Reduce N+1 query

Code: [N+1 pattern].
Identify N+1 site. Refactor to single query or batched.
Tradeoffs: eager vs join vs DataLoader. Output refactored + benchmark expectation.

40. Flaky test diagnostician

Test: [paste]. Failure pattern: [intermittent/env/time].
What does test assert? What state makes it pass sometimes fail others?
Top 5 flake categories: timing, ordering, fixtures, network, env.
Most likely + fix that eliminates flake source.

Research & Analysis (15)

41. Customer interview synthesizer

Transcript: [paste].
Extract: top 3 pains (with quote), top 3 outcomes,
jargon-free language, competitive products mentioned, 3 follow-up Qs.
Output as table.

42. Multi-interview pattern

5 interviews: [paste].
Cross-interview: pains by ≥3 (with frequency), language patterns,
contradictions, latent needs no one named directly.

43. Survey design

Goal: [research Q]. Audience: [audience].
Design 10-question survey: 1 NPS, 3 multi-choice, 3 Likert, 3 open.
For each: question + answer options + insight produced.

44. Competitive teardown

Competitor: [URL]. Our positioning: [paste].
Audit: positioning headline, top 3 features, pricing, social proof, CTA.
Output 5 differentiation gaps + 3 opportunities.

45. ICP refiner

Current ICP: [paste]. Interview data: [3 transcripts].
Refine: firmographic, psychographic, trigger event.
Flag uncertainty where data thin.

46. Voice-of-customer extraction

10 reviews/tickets: [paste].
Extract verbatim phrases customers actually use.
Group by theme. Mark which work for: hero, ad, feature names, FAQ.

47. Analytics insight extractor

Data: [table].
Generate 5 insights non-obvious to skim.
Each: insight + supporting numbers + recommended action.
Flag insights needing more data to confirm.

48. Keyword cannibalization audit

URL list: [paste].
Identify pages targeting overlapping keywords.
Table: keyword, conflicting URLs, recommended action (consolidate/differentiate/canonical).

49. Article research synthesizer

5 article URLs/abstracts: [paste].
Cross-article: shared findings, contradictions, methodology differences,
gaps for further research.

50. Topic cluster generator

Niche: [niche]. Pillar keyword: [keyword].
Generate 12 cluster topics. Table: topic, intent, target keyword,
volume estimate, why it ranks.

51. Content gap analysis

Competitors: [URLs]. Our domain: [URL].
10 keywords competitors rank for that we don't.
Table: keyword, intent, why target, priority (high/med/low).

52. Keyword intent classifier

50 keywords: [paste].
Classify each: informational, navigational, commercial, transactional.
Output as table.

53. People Also Ask expansion

Topic: [topic].
Generate 15 PAA-style questions. Group by intent:
definitional, comparative, troubleshooting, how-to, why.

54. SERP feature targeting

Keyword: [keyword].
List dominant SERP features (snippet, PAA, video, image, etc.).
Per feature: recommended content format that targets it.

55. Survey response synthesizer

50 responses: [paste].
Synthesize: top patterns, contradictions, surprising findings,
3 recommended actions based on data.

Hiring & People (10)

56. Role rubric

Role: [Senior X at startup]. Level: [IC4 equiv].
Rubric: 5 dimensions (technical depth, scope, communication, cultural add, growth).
For each: 5-point scale with concrete behavioral indicators.

57. Interview questions

Rubric: [paste].
12 calibrated questions covering all 5 dimensions:
4 technical depth, 2 scope, 2 communication, 2 cultural add, 2 growth.
Each: question + what answer reveals + red flags + green flags.

58. Take-home eval rubric

Assignment: [paste]. Generate rubric: 4 weighted dimensions, 1-5 each.
Include flag (instant DQ) and wow (auto-advance) criteria.

59. Post-interview synthesizer

Notes: [raw paste].
Extract: strengths (with evidence), concerns (with evidence),
open questions, recommendation (advance/next/pass), confidence (H/M/L).

60. Reference call questions

Role: [role]. Strength to validate: [strength]. Concern to probe: [concern].
8 reference Qs: 4 open, 2 situational, 2 calibration.
Each: hope-to-hear vs yellow flag.

61. Job description writer

Role: [role]. Company: [company]. Location: [remote/city].
Generate JD: 1-line hook, what you'll do (5 bullets),
who you are (5 bullets), nice-to-haves (3), benefits, application instructions.

62. Performance review draft

Direct report: [role]. Period: [Q].
Wins: [list]. Stuck points: [list]. Career goal: [goal].
Draft 350-word review: strengths, growth areas, calibrated rating, dev plan.
Tone: candid + supportive.

63. 1:1 agenda

Direct report: [role]. Tenure: [N months].
Recent: [context]. 1:1 agenda: 3 their-topics prompts,
2 calibration questions, 1 stretch goal check, 5 min wrap.

64. Team retrospective

Sprint goal: [goal]. Outcome: [outcome].
Generate retro: what went well, what didn't, what to change,
3 action items with owners + due dates.

65. Onboarding plan

Role: [role]. New hire: [name + level].
30-60-90 day plan: each milestone has 3 outcomes + 5 tasks.
Pair with named people for handoffs.

Creative & Writing (15)

66. Story synopsis

Genre: [genre]. Length: [N pages].
Generate 1-page synopsis: protagonist + want + obstacle,
inciting incident, midpoint reversal, climax, resolution. Tone: agent-pitch ready.

67. Character bio

Story: [premise]. Character role: [protagonist/antagonist/etc.].
Generate bio: name, age, background (3-line), want, internal conflict,
external conflict, voice attributes (5), distinguishing detail.

68. Scene draft

Setting: [setting]. Characters: [list]. Stakes: [stakes].
Action goal: [what happens].
Draft 800-word scene with dialogue, beats, sensory detail. Show don't tell.

69. Plot hole finder

Manuscript section: [paste].
Identify: contradictions with established facts, unmotivated character actions,
unresolved setups, timeline issues. Output as numbered list.

70. Critique partner read

Manuscript: [paste].
Read as senior editor. Output: what works, what doesn't,
biggest line-edit opportunity, structural concerns.
Severity tiered. No empty praise.

71. Pitch letter

Manuscript: [premise]. Genre: [genre]. Comp titles: [titles].
Write 200-word pitch: hook line, comparison, premise, stakes, sample.
Tone: agent query ready.

72. Naming brainstorm

What it is: [1-line]. Audience: [audience].
Constraints: [≤2 syllables / .com avail / no negative connotations EN/ES/FR].
Generate 30 candidates. Each: meaning, why it could fit, why miss.

73. Slogan generator

Brand: [brand]. Promise: [promise]. Audience: [audience].
Generate 20 slogans. Mix: benefit (5), aspirational (5),
contrarian (5), playful (5). Rank top 5.

74. Speech writer

Speaker: [role + audience]. Occasion: [event]. Length: [N min].
Goal: [persuade/inform/inspire].
Draft full speech: hook, 3 main points (each with story + data),
emotional close.

75. Wedding toast

Speaker: [relationship to couple]. Couple: [names + 1-line story].
Tone: warm + funny + sincere.
Draft 2-min toast: opening anecdote, theme that connects,
specific moment, blessing.

76. Eulogy

Person: [relationship + biographical sketch].
Tone: reverent + warm + personal.
Draft 4-min eulogy: opening memory, 3 character traits with stories,
how they shaped lives, closing reflection.

77. Children's story

Audience: [age]. Length: [N words]. Theme: [theme].
Generate story: 3-act structure, simple vocabulary, vivid imagery,
satisfying ending, repeating phrase for child engagement.

78. Poem

Form: [haiku / sonnet / free verse]. Subject: [subject]. Mood: [mood].
Constraint: [length].
Generate 3 variants. Each: tighter than the last.

79. Joke writer

Topic: [topic]. Type: [setup-punchline / observational / one-liner].
Generate 10. Mix clean and edgy. Mark which work for: stand-up, twitter, dinner.

80. Tagline rewriter

Current tagline: [paste]. Goals: [emotional response].
Generate 15 rewrites. Variants: shorter (5), more specific (5), more emotional (5).
Rank by predicted impact.

Operations & Personal (20)

81. Vendor decision matrix

Decision: [pick vendor for X]. Options: [3-5].
Criteria: [5-7 weighted criteria].
Score each 1-5 per criterion. Compute weighted total.
Flag tie-breakers + dealbreakers. Recommend choice.

82. Async update

Slack last 24h: [paste].
Synthesize 100-word update: decisions made, open questions,
action items (with owner), things needing my input.

83. Email triage

20 inbox subject + 1-line summaries: [paste].
Categorize: respond now (≤5), later (≤10), archive (≤5).
For 'now', draft 1-line response.

84. Weekly retrospective

Wins: [list]. Stuck: [list].
Synthesize: top stuck pattern, single highest-leverage change,
one thing to stop, one to keep doing more.

85. Personal OKR draft

Quarter: [Q]. Role: [role]. Top constraint: [blocker].
Draft 3 OKRs: objective (qualitative), 3 measurable KRs, 1 leading indicator.

86. Meeting agenda

Meeting purpose: [goal]. Attendees: [N]. Duration: [min].
Generate agenda: 3 outcomes, time-boxed sections,
prep required per person, decision points, next-step capture.

87. Meeting summary

Notes: [paste].
Summarize: decisions made, action items (owner + due date),
unresolved questions, follow-up agenda items.

88. Calendar audit

Last week's calendar: [paste blocks].
Identify: meeting types, time spent per category,
energy mismatch (high-effort meetings in low-energy slots),
suggestion for next week's blocks.

89. Daily plan from goals

This week's 3 goals: [list]. Today's energy: [high/med/low].
Allocate today's hours: top-3 deep work blocks,
2 meeting blocks, 1 admin block. Justify each allocation.

90. Decision journal

Decision: [decision]. Options: [list]. Picked: [choice]. Reason: [reason].
Record: assumptions made, evidence supporting, evidence against,
review date (+90 days).

91. Apology email

Mistake: [what happened]. Recipient: [audience].
Write 150w apology: acknowledge clearly, take ownership,
explain (don't excuse), commit to fix, no defensiveness.

92. Tough feedback

Issue: [issue]. Recipient: [role + relationship].
Write feedback message ≤ 200w: specific behavior, impact,
change request, support offer. Tone: candid + caring.

93. Resignation letter

Role: [role]. Tenure: [N years]. Reason: [moving to / family / etc.].
Write 150w resignation: gratitude, transition support, last day, no burning bridges.

94. Negotiation prep

Negotiation: [salary/contract/etc.]. My ask: [ask]. Their position: [position].
Walk through: BATNA, ZOPA, anchoring strategy, top 3 questions to ask,
concession ladder, walk-away criteria.

95. Travel itinerary

Destination: [city]. Days: [N]. Vibe: [foodie/culture/relaxed].
Travelers: [N]. Generate day-by-day itinerary:
3 anchors per day, walking distances realistic, restaurant per day, contingency.

96. Learning roadmap

Goal: [skill]. Current level: [level]. Time available: [hr/week].
6-week roadmap: weekly milestone, resources (book/course/practice),
weekly project to ship.

97. Book summary

Book: [title].
Generate 200-word summary: thesis, 3 key arguments,
strongest evidence, what's wrong with it, who should read.

98. Recipe scaler

Recipe: [paste]. Original servings: [N]. Target: [M].
Scale ingredients (handle 'to taste' notes).
Adjust cook time + temp where scaling affects.
Flag any 'don't scale' items (yeast, leavening).

99. Workout plan

Goal: [strength/endurance/etc.]. Days: [N/week]. Equipment: [list].
Experience: [level].
Generate 4-week plan: per-day exercises, sets × reps,
progression scheme, deload week.

100. Habit tracker

Habit: [habit]. Why it matters: [reason].
Design tracking system: daily question (yes/no),
weekly metric, monthly review prompt, failure-recovery rule.

101. Birthday message

Recipient: [name + relationship + 2-3 facts about them].
Write warm 80-word message. Specific to them, not generic.

102. Anniversary note

Years together: [N]. Specific moments: [list 3].
Write 150-word note. Specific, not greeting card. Show, don't tell.

Power moves

  1. Save your top 10 as templates — any prompt manager handles this. Prompt Architects ships them as one-click presets across 8 platforms.
  2. Add 1-2 examples to repeated patterns. Few-shot halves rework.
  3. Specify variables tightly. "[Senior copywriter, 10y B2B SaaS]" beats "[copywriter]".
  4. Chain prompts. Output of one feeds the next. Don't dump 3 tasks in one prompt.
  5. Iterate by tightening one variable per attempt. Don't rewrite from scratch.

What changed in 2025-2026

  • GPT-5 + Claude Opus 4 handle vague prompts better than predecessors. Frameworks still win for production but the gap narrowed for casual use.
  • JSON prompting went mainstream. Templates 31-33 above use this pattern.
  • Few-shot still wins on consistency. Add 1-2 examples to repeated templates for 5-15% accuracy lift.
  • Persona prompting beats basic role prompting. Templates 1, 7, 28 use this.

That's 100+ tested templates. Bookmark, copy, ship. The frameworks transfer to Claude, Gemini, Grok with minor adjustment.

Frequently asked questions

Are these ChatGPT prompts free?
Yes — every template below is free to copy, use, and adapt. No signup, no paywall. The variables in brackets are what you fill in. The frameworks (CRAFT, Chain-of-Thought, CARE) are public; only the curation is ours.
Do these work on Claude and Gemini too?
Most yes. CRAFT-formatted prompts transfer directly. Some prompts that rely on specific ChatGPT features (custom GPTs, code interpreter) need adaptation. Test each on your target model — adjustments are usually minor.
How do I save these templates for daily use?
Three options. (1) Save into your prompt manager — Prompt Architects, AIPRM, FlashPrompt all support templates with placeholders. (2) Save as snippets in TextExpander, Alfred, or Raycast. (3) Save in a Notion/Obsidian doc and copy-paste. Cross-tool sync wins long-term — paste in once, use everywhere.
Why do ChatGPT outputs vary even with the same template?
Three reasons. (1) Default temperature 0.7 introduces randomness. Set temp to 0 for deterministic output. (2) Model versions update — same template can perform differently after a model upgrade. (3) Your variable filling matters — vague variables produce vague output. Specific variables produce specific output.
Should I trust ChatGPT-generated content blindly?
No. Templates produce drafts, not finished work. Always edit for accuracy (ChatGPT hallucinates), voice (default ChatGPT-ish phrasing), and AI tells (em dashes, 'in summary' openings, balanced both-sides hedging). The template does the structure work; you do the judgment work.
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