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Every day, we feature the community's top-voted AI workflow in The Rundown newsletter. One post will put you on the radar of top founders, hiring managers, and operators across the industry.

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Automate Security Risk Assessment Reports in 15 Minutes

Earlier in my career, I spent a significant amount of time delivering security risk assessments. These engagements typically took 8–12 weeks from the initial client meeting to the final report, with complex projects often stretching to 3–4 months. Today, I can produce reports of comparable quality in 1–2 days. The automation runs end-to-end in about 15 minutes; I spend the remaining time reviewing and validating the output. The workflow starts with a structured questionnaire and uses ChatGPT, Perplexity, Claude, Make.com, Google Drive, and Gamma.ai to research, draft, format, and deliver the report. This compresses the delivery timeline while preserving quality and lets me focus on expert judgment, validation, and client communication instead of manual report production. Step-by-step: 1. I have the client visit a web page and complete a structured questionnaire built on Lovable.dev. 2. The submitted information triggers an automated Make.com workflow. 3. ChatGPT analyzes the client’s responses. 4. Perplexity conducts targeted research tailored to the client’s industry, context, and risk profile. 5. Claude drafts the report and saves it to Google Drive. 6. The draft is passed to Gamma.ai, which generates the final client-ready report. 7. I receive the report by email, perform a thorough review, and send it to the client once I approve it. 8. I use the time saved to focus on expert judgment, output validation, and client communication.

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Créer un SaaS d’automatisation avec un dashboard IA de service client

Je veux créer N’ose Digital IA, un SaaS international dédié à l’automatisation et conçu de A à Z comme un véritable business SaaS, avec l’IA au cœur de la plateforme. Le projet comprend un dashboard IA de service client ainsi qu’un agent vocal qui répond aux clients et s’appelle « Client ». Step-by-step: 1. Créer le SaaS N’ose Digital IA. 2. Optimiser la plateforme autour de l’automatisation. 3. Concevoir un dashboard IA dédié au service client. 4. Intégrer un agent vocal appelé « Client » pour répondre aux clients. 5. Développer la plateforme comme un business SaaS international, avec l’IA au cœur du projet.

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