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2 contributions to AI Automation (A-Z)
Hiring Automation Builders.
We are initiating a structured implementation phase to evaluate execution quality, system reliability, and delivery standards ahead of a potential long-term collaboration with **Levanrohe.com**. This phase requires building a **complete, production-grade reservation automation pipeline**, starting from AI voice interactions and ending with operational notifications to restaurant staff. The objective is to validate that the system can be delivered **cleanly, deterministically, and without manual intervention**. Below is the required scope and execution logic. --- 1. Objective (Non-Negotiable) Build an end-to-end automated flow that: 1. Receives finalized reservation data from **Retell AI** 2. Processes and validates that data in real time 3. Pushes the reservation into **xMenu** in a structured, API-compliant manner 4. Notifies restaurant staff via **Zadarma SMS** 5. Operates entirely through **Make.com** as the orchestration layer This system must function reliably under real operational conditions. --- 2. Authoritative Flow Overview **Source of Truth:** Retell AI (call-ended event) **Orchestration Layer:** Make.com **Downstream Systems:** xMenu (data sink), Zadarma (notifications) High-level flow: ``` Customer Call → Retell AI (call concludes) → Make.com Webhook (authoritative payload) → Data validation & normalization → xMenu API (reservation / order write) → Zadarma SMS (staff notification) ``` No UI-driven steps. No manual confirmations. No hidden dependencies. --- 3. Step-by-Step Technical Responsibilities 3.1 Retell → Make.com (Webhook Ingestion) * Configure Retell to send **call.ended** events to a Make.com webhook * Payload must include: * Guest name * Phone number * Date * Time * Party size * Notes (optional) * Treat this payload as **finalized reservation intent** Make.com must reject incomplete or malformed payloads explicitly. --- 3.2 Data Validation & Normalization (Make.com) Inside Make.com: * Validate required fields
0 likes • 1h
@James Ireoluwa DM
WHAT THE F*CK, I just sent out 10,000 DMs on autopilot
WHAT THE F*CK, I just sent out 10,000 DMs on autopilot šŸ˜‚ This was the easiest thing I've ever done, I think I just found an actual cheat code to scaling your business..imagine being able to send out 10,000 DMs per month to your dream clients on autopilot. Let's break this down..(with disgustingly pessimistic metrics) 10,000 DMs per month = 2,500 DMs per week 2,500 DMs per week = 357 DMs per day 10,000 DMs per month @ 1% ABR = 100 appointments per month 100 appts per month @ 33% Show Rate = 33 appointment show ups 33 appt show ups @ 10% Close Rate = 3 high ticket ($999+) clients per month $3,000+/mo ON AUTOPILOT! (by the way, these are worse metrics than your grandma would get). I wanted to show you this because this exact A.I system solves the biggest problem that most businesses face...CLIENT ACQUISITION! Adapt to 2025 and take advantage of A.I, because it's here to stay and make life feel almost too easy. Comment "10K" or "DMS" and we will book a call to discuss building this system for your own business (serious investors only, 7 spots remaining) -
WHAT THE F*CK, I just sent out 10,000 DMs on autopilot
0 likes • Jul '25
Only 24h
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Abhyuday Zv.
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1point to level up
@michael-dixits-8765
Get Warm Leads with Automated AI Content & Marketing | Young dude building AI content growth engines for solopreneurs and High-end Companies

Active 7m ago
Joined Jul 16, 2025
ESTP
Great Britain!
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