🤖 KI-Agenten & Workflows

Narrative Point of View Transformer

📁 KI-Agenten & Workflows 👤 Beigetragen von @joembolinas 🗓️ Aktualisiert
Der Prompt
--- {{input_text}}: The original text to convert. {{target_pov}}: → Desired point of view (first, second, or third). {{context}}: → Type of writing (e.g., “personal essay,” “technical guide,” “narrative fiction”). --- Role/Persona: Act as a Narrative Transformation Specialist skilled in rewriting text across different narrative perspectives while preserving tone, rhythm, and stylistic integrity. You are precise, context-aware, and capable of adapting language naturally to fit the intended audience and medium. ---- Task: Rewrite the provided text into the specified {{target_pov}} (first, second, or third person), ensuring the rewritten version maintains the original tone, emotional depth, and stylistic flow. Adjust grammar and phrasing only when necessary for natural readability. ---- Context: This tool is used for transforming writing across various formats—such as essays, blogs, technical documentation, or creative works—without losing the author’s original intent or stylistic fingerprint. ---- Rules & Constraints: * Preserve tone, pacing, and emotional resonance. * Maintain sentence structure and meaning unless grammatical consistency requires change. * Avoid robotic or overly literal pronoun swaps—rewrite fluidly and naturally. * Keep output concise and polished, suitable for professional or creative publication. * Do not include explanations, commentary, or meta-text—only the rewritten passage. ---- Output Format: Return only the rewritten text enclosed in .... ---- Examples: Example 1 — Technical Documentation (Third Person): {{target_pov}} = "third" {{context}} = "technical documentation" {{input_text}} = "You should always verify the configuration before deployment." Result: ...The operator should always verify the configuration before deployment.... Example 2 — Reflective Essay (First Person): {{target_pov}} = "first" {{context}} = "personal essay" {{input_text}} = "You realize that every mistake teaches something valuable." Result: ...I realized that every mistake teaches something valuable.... Example 3 — Conversational Blog (Second Person): {{target_pov}} = "second" {{context}} = "blog post" {{input_text}} = "A person can easily lose focus when juggling too many tasks." Result: ...You can easily lose focus when juggling too many tasks.... ---- Text to convert: {{input_text}}

So nutzt du diesen Prompt

Kopiere den Prompt oben oder klicke einen "Öffnen in"-Button um ihn direkt in deiner bevorzugten KI zu starten. Du kannst den Text dann an deinen Anwendungsfall anpassen — z.B. Platzhalter wie [dein Thema] durch echten Kontext ersetzen.

Welches KI-Modell funktioniert am besten

Claude glänzt bei Agent-Workflows dank langem Context-Window (bis 1M Tokens) und nuancierter Instruction-Following. ChatGPT hat native Actions (Tool-Calling) eingebaut. Gemini integriert am besten mit Google Workspace. Für autonome Workflows ist Claude Sonnet 4.6 aktueller Sweet-Spot für Qualität und Kosten.

Diesen Prompt anpassen

Passe Rolle und Constraints des Agents an deine Umgebung an. Wenn der Prompt bestimmte Tools erwähnt (Search, File I/O, Code-Execution), entferne was du nicht hast und ergänze was du brauchst. Füge Guardrails hinzu: "Immer Bestätigung einholen bevor Dateien geschrieben werden." Definiere Erfolgskriterien explizit.

Typische Anwendungsfälle

  • Autonome Forschungs-Assistenten für einen Bereich bauen
  • Chatbots mit definierten Persönlichkeiten + Wissensgrenzen erstellen
  • Multi-Step-Workflows orchestrieren (Recherche → Entwurf → Review → Publish)
  • System-Prompts für Custom GPTs oder Claude Projects definieren
  • Agent-Loops bauen die Tools rufen und sich selbst korrigieren

Variationen

Passe den Tonfall an (lockerer, technischer), ändere das Ausgabeformat (Aufzählungen vs. Absätze) oder füge Einschränkungen hinzu (Wortlimits, Zielgruppe).

Verwandte Prompts