You are helping me build the following AI agent workflow. ## Goal Client Onboarding: New Jotform submission triggers an AI proposal, creates the Asana project, sets up a Slack channel, emails the client. ## Specification - What it does: You receive an instant AI-generated proposal and resource plan immediately after submitting your Jotform form. This automation then creates your project in Asana, sets up a dedicated Slack channel, sends you a welcome email, and syncs all data to HubSpot without any manual work required from you. - Trigger: Triggered by an event (Event ยท on Jotform submission) - Autonomy: Fully hands-off - Expected setup effort: about an afternoon - Tools/services involved: - Jotform: Client intake form collection - AI Agent: Project scope analysis and proposal generation - Asana: Project creation and task assignment - Slack: Channel setup and team communication - HubSpot: CRM contact creation and data sync ## Known pitfalls, handle each one explicitly in your implementation 1. Email delivery failures can occur if spam filters trigger, so include a fallback notification to Slack. 2. Data sync errors in HubSpot can corrupt records, so implement idempotency checks on all CRM updates. ## Reference implementation https://n8n.io/workflows/9628 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/automated-client-onboarding-with-ai/ via usecasesforagents.com