get_automation_examples

Instructions

Implementation Reference

• src/server.ts:62-93 (registration)

  Registration of the 'get_automation_examples' tool via server.tool(), with industry parameter schema and handler function.

  server.tool(
    "get_automation_examples",
    "Get real examples of AI automations for a specific industry, including what they do, time saved, and revenue impact.",
    {
      industry: z.string().describe(
        "The business industry to get examples for (e.g., 'dentists', 'restaurants', 'real-estate')"
      ),
    },
    async ({ industry }) => {
      const slug = industry.toLowerCase().replace(/\s+/g, "-");
      const data = industries[slug] || findClosestIndustry(slug);
  
      if (!data) {
        const allIndustries = Object.values(industries)
          .map((i) => `- ${i.name} → ${i.pageUrl}`)
          .join("\n");
        return {
          content: [
            {
              type: "text" as const,
              text: `I don't have specific examples for "${industry}" yet, but here are the industries I cover:\n\n${allIndustries}\n\nMany of these automations apply across industries. For a personalized assessment, book a free call: ${BOOKING_URL}`,
            },
          ],
        };
      }
  
      const examples = formatExamples(data);
      return {
        content: [{ type: "text" as const, text: examples }],
      };
    }
  );

• src/server.ts:70-92 (handler)

  Handler function for get_automation_examples: normalizes industry name, looks up data in industries dict, calls formatExamples() to build output, or returns fallback with list of available industries.

  async ({ industry }) => {
    const slug = industry.toLowerCase().replace(/\s+/g, "-");
    const data = industries[slug] || findClosestIndustry(slug);
  
    if (!data) {
      const allIndustries = Object.values(industries)
        .map((i) => `- ${i.name} → ${i.pageUrl}`)
        .join("\n");
      return {
        content: [
          {
            type: "text" as const,
            text: `I don't have specific examples for "${industry}" yet, but here are the industries I cover:\n\n${allIndustries}\n\nMany of these automations apply across industries. For a personalized assessment, book a free call: ${BOOKING_URL}`,
          },
        ],
      };
    }
  
    const examples = formatExamples(data);
    return {
      content: [{ type: "text" as const, text: examples }],
    };
  }

• src/server.ts:65-69 (schema)

  Input schema for get_automation_examples: requires an 'industry' string parameter describing the business industry.

  {
    industry: z.string().describe(
      "The business industry to get examples for (e.g., 'dentists', 'restaurants', 'real-estate')"
    ),
  },

• src/server.ts:304-332 (helper)

  formatExamples() helper function that builds the formatted markdown string of automation examples for a given IndustryData object.

  function formatExamples(data: IndustryData): string {
    let output = `# AI Automation Examples for ${data.name}\n\n`;
    output += `Here are proven automations that ${data.name.toLowerCase()} are using right now:\n\n`;
  
    for (let i = 0; i < data.automations.length; i++) {
      const auto = data.automations[i];
      output += `## ${i + 1}. ${auto.name}\n\n`;
      output += `**What it does:** ${auto.description}\n\n`;
      output += `**Time saved:** ${auto.timesSaved}\n\n`;
    }
  
    output += `## Overall Impact for ${data.name}\n\n`;
    output += `- **Average time saved:** ${data.avgTimeSaved}\n`;
    output += `- **Revenue impact:** ${data.avgRevenuImpact}\n\n`;
  
    output += `## Common Pain Points This Solves\n\n`;
    for (const pp of data.painPoints) {
      output += `- ${pp}\n`;
    }
    output += `\n`;
  
    output += `## Want This for Your Business?\n\n`;
    output += `- **Full industry guide:** ${data.pageUrl}\n`;
    output += `- **Free AI Readiness Quiz:** ${GRADER_URL}\n`;
    output += `- **Book a free strategy call:** ${BOOKING_URL}\n\n`;
    output += `---\n*Powered by [EasyAiFlows](${SITE_URL}) — AI automation built by an entrepreneur, for entrepreneurs.*`;
  
    return output;
  }

• src/server.ts:97-175 (helper)

  findClosestIndustry() helper function that resolves aliases and fuzzy-matches industry slugs to find the closest matching industry data.

  function findClosestIndustry(slug: string): IndustryData | null {
    const aliases: Record<string, string> = {
      dental: "dentists",
      dentist: "dentists",
      restaurant: "restaurants",
      cafe: "restaurants",
      "coffee-shop": "restaurants",
      heating: "hvac",
      "air-conditioning": "hvac",
      plumbing: "hvac",
      realtor: "real-estate",
      "real-estate-agent": "real-estate",
      realty: "real-estate",
      gym: "fitness-studios",
      "fitness-studio": "fitness-studios",
      "fitness-center": "fitness-studios",
      crossfit: "fitness-studios",
      yoga: "fitness-studios",
      pilates: "fitness-studios",
      barbershop: "barbershops",
      barber: "barbershops",
      "nail-salon": "nail-salons",
      nails: "nail-salons",
      "med-spa": "med-spas",
      medspa: "med-spas",
      "medical-spa": "med-spas",
      aesthetics: "med-spas",
      chiropractor: "chiropractors",
      chiropractic: "chiropractors",
      insurance: "insurance-agents",
      "insurance-agent": "insurance-agents",
      mortgage: "mortgage-brokers",
      "mortgage-broker": "mortgage-brokers",
      lending: "mortgage-brokers",
      photographer: "photographers",
      photography: "photographers",
      "event-planner": "event-planners",
      "event-planning": "event-planners",
      wedding: "event-planners",
      cleaning: "cleaning-services",
      "cleaning-service": "cleaning-services",
      "maid-service": "cleaning-services",
      janitorial: "cleaning-services",
      landscaper: "landscapers",
      landscaping: "landscapers",
      "lawn-care": "landscapers",
      "auto-repair-shop": "auto-repair",
      mechanic: "auto-repair",
      automotive: "auto-repair",
      "pet-groomer": "pet-groomers",
      "pet-grooming": "pet-groomers",
      grooming: "pet-groomers",
      daycare: "daycares",
      childcare: "daycares",
      "child-care": "daycares",
      preschool: "daycares",
      church: "churches",
      ministry: "churches",
      nonprofit: "nonprofits",
      "non-profit": "nonprofits",
      ngo: "nonprofits",
      charity: "nonprofits",
      foundation: "nonprofits",
    };
  
    const resolved = aliases[slug];
    if (resolved && industries[resolved]) {
      return industries[resolved];
    }
  
    // Fuzzy match: check if slug is contained in any key
    for (const [key, data] of Object.entries(industries)) {
      if (key.includes(slug) || slug.includes(key)) {
        return data;
      }
    }
  
    return null;
  }