---
title: Aumentare la coerenza dell'output
url: https://platform.claude.com/docs/it/test-and-evaluate/strengthen-guardrails/increase-consistency
description: Rendi gli output di Claude più coerenti specificando formati esatti, precompilando le risposte, vincolando con esempi e fondando le risposte sul retrieval.
---

<Tip>
  **Per una conformità garantita allo schema JSON**

  Se hai bisogno che Claude produca sempre JSON valido conforme a uno schema specifico, usa gli [Structured Outputs](https://platform.claude.com/docs/it/build-with-claude/structured-outputs) (output strutturati) invece delle tecniche di prompt engineering riportate di seguito. Gli output strutturati forniscono una conformità garantita allo schema e sono progettati specificamente per questo caso d'uso.

  Le tecniche riportate di seguito sono utili per la coerenza generale dell'output o quando hai bisogno di flessibilità oltre gli schemi JSON rigidi.
</Tip>

Ecco come rendere le risposte di Claude più coerenti:

## Specifica il formato di output desiderato

Definisci con precisione il formato di output desiderato usando JSON, XML o template personalizzati, in modo che Claude segua ogni elemento di formattazione dell'output che richiedi.

<Accordion title="Esempio: standardizzare il feedback dei clienti">
  ```text User wrap
  You're a Customer Insights AI. Analyze this feedback and output in JSON format with keys: "sentiment" (positive/negative/neutral), "key_issues" (list), and "action_items" (list of dicts with "team" and "task").

  "I've been a loyal user for 3 years, but the recent UI update is a disaster. Finding basic features is now a scavenger hunt. Plus, the new 'premium' pricing is outrageous. I'm considering switching unless this is fixed ASAP."
  ```

  ```json Assistant
  {
    "sentiment": "negative",
    "key_issues": [
      "Poor UI/UX in recent update",
      "Difficulty finding basic features",
      "Perceived high pricing (new 'premium' tier)"
    ],
    "action_items": [
      {
        "team": "Product",
        "task": "Conduct usability testing and iterate on UI based on findings"
      },
      {
        "team": "UX",
        "task": "Create a feature discovery guide or onboarding flow"
      },
      {
        "team": "Marketing",
        "task": "Review pricing strategy and communicate value proposition"
      },
      {
        "team": "Customer Success",
        "task": "Reach out to user, offer concessions to prevent churn"
      }
    ]
  }
  ```
</Accordion>

## Precompila la risposta di Claude

<Note>
  Il "prefilling" (precompilazione) non è supportato su Claude 4.6 e modelli successivi e su 

  [Claude Mythos Preview](https://anthropic.com/glasswing)

  . Usa invece gli 

  [output strutturati](https://platform.claude.com/docs/it/build-with-claude/structured-outputs)

   sui modelli che li supportano, oppure istruzioni nel prompt di sistema.
</Note>

Precompila il turno `Assistant` con il formato desiderato. Questo trucco aggira il preambolo amichevole di Claude e impone la tua struttura.

<Accordion title="Esempio: report giornaliero delle vendite">
  ```text User wrap
  You're an insightful Sales Intelligence AI. Generate today's sales report.

  Structure the report like this:

  <report>
      <summary>
          <metric name="total_revenue">$0.00</metric>
          <metric name="units_sold">0</metric>
          <metric name="avg_order_value">$0.00</metric>
      </summary>
      <top_products>
          <product>
              <name>Product Name</name>
              <revenue>$0.00</revenue>
              <units>0</units>
          </product>
          ...
      </top_products>
      <regional_performance>
          <region>
              <name>Region Name</name>
              <revenue>$0.00</revenue>
              <growth>0.0%</growth>
          </region>
          ...
      </regional_performance>
      <action_items>
          <item>Action item.</item>
          ...
      </action_items>
  </report>
  ```

  ```xml Assistant (prefill)
  <report>
      <summary>
          <metric name=
  ```

  ```xml Assistant
  "total_revenue">$842,567.00</metric>
          <metric name="units_sold">15,238</metric>
          <metric name="avg_order_value">$55.29</metric>
      </summary>
      <top_products>
          <product>
              <name>AcmeGuard Pro</name>
              <revenue>$325,890.00</revenue>
              <units>3,621</units>
          </product>
          <product>
              <name>AcmeVault Enterprise</name>
              <revenue>$254,400.00</revenue>
              <units>1,272</units>
          </product>
          <product>
              <name>AcmeBoost XL</name>
              <revenue>$147,690.00</revenue>
              <units>4,923</units>
          </product>
      </top_products>
      <regional_performance>
          <region>
              <name>APAC</name>
              <revenue>$258,960.00</revenue>
              <growth>12.8%</growth>
          </region>
          <region>
              <name>EMEA</name>
              <revenue>$325,478.00</revenue>
              <growth>3.2%</growth>
          </region>
          <region>
              <name>Americas</name>
              <revenue>$258,129.00</revenue>
              <growth>-2.1%</growth>
          </region>
      </regional_performance>
      <action_items>
          <item>Investigate Americas revenue drop; schedule regional sales team meeting.</item>
          <item>Accelerate CloudGuard Pro rollout in APAC to capitalize on growth.</item>
          <item>Review NetBoost XL pricing; high volume but lower revenue.</item>
      </action_items>
  </report>
  ```
</Accordion>

## Vincola con esempi

Fornisci esempi dell'output desiderato. Questo è più efficace delle istruzioni astratte.

<Accordion title="Esempio: generare market intelligence coerente">
  ```text User wrap
  As a Market Intelligence AI, your task is to analyze data about our competitors. Here is our competitor data:
  <data>
  {{DATA}}
  </data>

  Output following this example format:

  <competitor>
    <name>Rival Inc</name>
    <overview>A 50-word summary.</overview>
    <swot>
      <strengths>- Bullet points</strengths>
      <weaknesses>- Bullet points</weaknesses>
      <opportunities>- Bullet points</opportunities>
      <threats>- Bullet points</threats>
    </swot>
    <strategy>A 30-word strategic response.</strategy>
  </competitor>

  Now, analyze AcmeGiant and AcmeDataCo using this format.
  ```

  ```text Assistant wrap
  <competitor>
    <name>AcmeGiant</name>
    <overview>Global tech leader with a vast ecosystem of consumer and enterprise products. Known for innovation, strong brand, and deep customer lock-in through integrated hardware, software, and services.</overview>
    <swot>
      <strengths>
        - Massive R&D budget fuels continuous innovation
        - Loyal customer base and powerful brand recognition
        - Synergistic product ecosystem increases switching costs
      </strengths>
      <weaknesses>
        - High prices may deter cost-sensitive customers
        - Slow to address enterprise-specific customization needs
        - Privacy concerns and regulatory scrutiny in multiple markets
      </weaknesses>
      <opportunities>
        - Growing demand for AI and ML capabilities
        - Expansion into emerging markets
        - Acquisitions to fill product or talent gaps
      </opportunities>
      <threats>
        - Rapid rise of cloud-native competitors
        - Antitrust lawsuits and regulatory actions
        - Talent poaching by startups and competitors
      </threats>
    </swot>
    <strategy>Focus on our agility and customization. Target TechGiant's slow enterprise response and privacy issues in our marketing.</strategy>
  </competitor>

  <competitor>
    <name>AcmeDataCo</name>
    <overview>Rising star in data analytics and visualization. Offers intuitive, self-service BI tools with a freemium model, appealing to startups and enterprise teams alike.</overview>
    <swot>
      <strengths>
        - User-friendly interface reduces need for specialized training
        - Freemium model lowers barrier to entry, drives viral growth
        - Strong product-market fit with rise of data-driven decisions
      </strengths>
      <weaknesses>
        - Limited advanced analytics compared to established BI tools
        - Scaling issues reported with very large datasets
        - Dependent on third-party cloud infrastructure (AWS)
      </weaknesses>
      <opportunities>
        - Expanding into predictive analytics and AI-driven insights
        - Forming strategic alliances with complementary tech vendors
        - Customizable dashboards for industry-specific solutions
      </opportunities>
      <threats>
        - Market saturation; many new entrants in self-service BI
        - Enterprise BI giants developing more user-friendly tools
        - Data privacy regulations increasing compliance complexity
      </threats>
    </swot>
    <strategy>Highlight our robust enterprise features and data governance. Target accounts struggling with DataCo's scale limitations.</strategy>
  </competitor>
  ```
</Accordion>

## Usa il retrieval per la coerenza contestuale

Per attività che richiedono un contesto coerente (ad esempio chatbot, basi di conoscenza), usa il "retrieval" (recupero di informazioni) per fondare le risposte di Claude su un insieme fisso di informazioni.

<Accordion title="Esempio: migliorare la coerenza del supporto IT">
  ```text User wrap
  You're our IT Support AI that draws on knowledge base data. Here are entries from your knowledge base:

  <kb>
    <entry>
      <id>1</id>
      <title>Reset Active Directory password</title>
      <content>1. Go to password.ourcompany.com
  2. Enter your username
  3. Click "Forgot Password"
  4. Follow email instructions</content>
    </entry>
    <entry>
      <id>2</id>
      <title>Connect to VPN</title>
      <content>1. Install GlobalProtect from software center
  2. Open GlobalProtect, enter "vpn.ourcompany.com"
  3. Use AD credentials to log in</content>
    </entry>
  </kb>

  When helping users, always check the knowledge base first. Respond in this format:

  <response>
    <kb_entry>Knowledge base entry used</kb_entry>
    <answer>Your response</answer>
  </response> Write some test questions for yourself and answer them using the knowledge base, just to make sure you understand how to use the knowledge base properly.
  ```

  ```text Assistant wrap
  Understood. I'll use the knowledge base for consistent responses. Let's test with a couple of scenarios.

  User: Hey, I can't log into my email. I think I forgot my password.

  <response>
    <kb_entry>1: Reset Active Directory password</kb_entry>
    <answer>I understand you're having trouble logging into your email due to a forgotten password. No worries, this is a common issue. To reset your Active Directory password, which is used for email access, follow these steps:

  1. Go to password.ourcompany.com
  2. Enter your username (same as your email address)
  3. Click on the "Forgot Password" link
  4. You'll receive an email with instructions. Follow them to reset your password.

  After resetting, you should be able to log into your email. Let me know if you need any further assistance.</answer>
  </response>

  User: I'm working from home today. How do I access internal resources?

  <response>
    <kb_entry>2: Connect to VPN</kb_entry>
    <answer>Great question! To access internal resources while working from home, you'll need to connect to our company VPN (Virtual Private Network). Here's how to set that up:

  1. First, install the GlobalProtect VPN client. You can find this in our software center.
  2. Once installed, open the GlobalProtect application.
  3. In the server field, enter "vpn.ourcompany.com".
  4. Use your Active Directory (AD) credentials to log in - the same username and password you use for your email.

  Once connected, you'll have secure access to all internal resources as if you were in the office. Let me know if you run into any issues during setup.</answer>
  </response>
  ```
</Accordion>

## Concatena i prompt per attività complesse

Suddividi le attività complesse in sottoattività più piccole e coerenti. Ogni sottoattività riceve la piena attenzione di Claude, riducendo gli errori di incoerenza nei flussi di lavoro su larga scala.

## Mantieni Claude nel personaggio

Per le applicazioni basate su ruoli, mantenere un personaggio coerente richiede un prompting deliberato.

* **Usa i prompt di sistema per impostare il ruolo:** Usa i [prompt di sistema](https://platform.claude.com/docs/it/build-with-claude/prompt-engineering/claude-prompting-best-practices#give-claude-a-role) per definire il ruolo e la personalità di Claude. Questo pone una base solida per risposte coerenti.
  <Tip>
    Quando configuri il personaggio, fornisci informazioni dettagliate sulla personalità, sul background e su eventuali tratti o peculiarità specifiche. Questo aiuta il modello a emulare e generalizzare meglio i tratti del personaggio.
  </Tip>
* **Prepara Claude a possibili scenari:** Fornisci nei tuoi prompt un elenco di scenari comuni e delle risposte attese. Questo "addestra" Claude a gestire situazioni diverse senza uscire dal personaggio.

<Accordion title="Esempio: chatbot Enterprise per il role prompting">
  ```text System wrap
  You are AcmeBot, the enterprise-grade AI assistant for AcmeTechCo. Your role:
      - Analyze technical documents (TDDs, PRDs, RFCs)
      - Provide actionable insights for engineering, product, and ops teams
      - Maintain a professional, concise tone
  ```

  ```text User wrap
  Here is the user query for you to respond to:
  <user_query>
  {{USER_QUERY}}
  </user_query>

  Your rules for interaction are:
      - Always reference AcmeTechCo standards or industry best practices
      - If unsure, ask for clarification before proceeding
      - Never disclose confidential AcmeTechCo information.

  As AcmeBot, you should handle situations along these guidelines:
      - If asked about AcmeTechCo IP: "I cannot disclose TechCo's proprietary information."
      - If questioned on best practices: "Per ISO/IEC 25010, we prioritize..."
      - If unclear on a doc: "To ensure accuracy, please clarify section 3.2..."
  ```
</Accordion>