Urgent Debugging: AI Booking System Integration

@kamran2012

This looks like a great fit, I will audit both Make scenarios, fix the failing GHL API calls, and stabilize the full Retell-to-booking flow — availability check, appointment creation, and email confirmation. One common issue with the GHL calendar endpoints: the `/free-slots` call is sensitive to how the timezone and date range are passed. I will verify that `America/Los_Angeles` is set consistently across both scenarios and that the 30-day window accounts for Tuesday/Thursday filtering before the API call — not after — to avoid empty slot errors. Questions: 1) Are the intermittent failures happening on S1, S2, or both — and do the Make error logs show HTTP 422s or timeout issues? 2) Is your GHL Private Integration app scoped for both `calendars` and `contacts`, or was it set up with limited permissions? Send me a message and we can go over the details. Best regards, Kamran

@intelliresponse

Hello, I can audit and stabilize the full Retell → Make → GoHighLevel booking flow, focusing on intermittent failures, API payloads, timezone logic, and appointment creation reliability. Scope: • Audit both Make scenarios end-to-end • Verify GHL API v2 auth, headers, scopes, and calendar endpoints • Check America/Los_Angeles handling + Tue/Thu + 30-day rules • Test repeatedly with Retell calls until stable • Add error handling/logging • Deliver Loom + maintenance notes Answers: 1. GHL API v2 + Make: Yes — contacts, conversations, calendars, availability and appointment workflows using Private Integration tokens. 2. Retell webhooks: Yes — AI voice → automation → CRM/scheduling flows. 3. Estimate: ~7–14 hours total (audit, fixes, testing, handoff). Can begin immediately once temporary access is provided.

@techsty2014

Hello, We will audit and stabilize both Make scenarios, fix the GHL API v2 calls, and deliver a reliable booking flow with a Loom walkthrough. For the booking scenario, intermittent failures often trace to token refresh timing or payload mismatches on the /calendars/events/appointments endpoint. We will validate each module's error handling so transient auth failures retry cleanly instead of breaking the flow. A couple of quick things to confirm: 1) Are the GHL Private Integration scopes set to include calendars, contacts, and conversations? 2) Is the Retell webhook sending structured JSON, or does Make need to parse raw text? The number quoted here is a starting estimate. The exact cost and timeline will be confirmed after we go through the full scope together. Looking forward to discussing further. Best regards, Faizan

@mobiwebsolutions

✋ Hi There!!! ✋ THE PROJECT GOAL:- DEBUG AND STABILIZE AI BOOKING AUTOMATION USING MAKE RETELL AI AND GOHIGHLEVEL API. I have carefully read your setup and understand the need to fix intermittent failures across webhook flows, API calls, and timezone logic for a reliable booking system. I am the best fit because I specialize in debugging complex automation systems and API integrations. 1 Full audit of Make scenarios with webhook flow fixes and error handling 2 Verification of GoHighLevel API endpoints, payloads and authentication headers 3 End to end testing with Retell AI including timezone and booking logic stabilization UI design database management testing full source code delivery at completion included. 9+ years experience full stack developer. Similar projects completed include CRM automation, AI booking bots and API workflow debugging. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@BlueLi0n

Hi, those intermittent GHL v2 errors are usually down to the payload structure not matching the strict Version: 2021-07-28 header requirements or the ISO 8601 offset drifting from the America/Los_Angeles IANA string, I've integrated the /calendars/free-slots and /appointments endpoints via Make many times and can have this stabilized in about 5 hours of work, from there I can add the Tue/Thu logic and test the Retell webhooks until the flow is bulletproof, let's go?

@Muhammadzeesha59

Hello Sir/MAM I am a skilled full stack developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure . I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning ”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@engruhulajom

Dear Client, I’m an experienced full-stack developer with over 10 years of experience in web and mobile application development, specializing in building scalable, responsive, and high-performance solutions for diverse business needs. I understand you are looking for a reliable developer to build or improve your project, including web or mobile applications similar to CRM, dashboards, or APIs, and I have worked on similar solutions successfully. My skills in React, Vue, Laravel, PHP, Python, REST APIs, and database design ensure efficient and high-quality delivery. Feel free to share more details or ask questions. I’m ready to refine my approach to match your exact requirements. Looking forward to working with you. Best regards, Md Ruhul Ajom

@abela399

Hi, I’ve dealt with Make + CRM + voice-agent flows where the instability usually comes from small mismatches in payload structure and timing between webhook triggers and calendar writes, not the AI layer itself. Are the failures happening more on the availability check step or during the actual appointment creation in GoHighLevel? I’ve worked on similar automation stacks where Retell-style webhooks triggered Make scenarios connected to CRM calendars and SMS/email confirmations. Most of the debugging ended up being around GHL API v2 headers, timezone normalization, and retry behavior when Make runs into partial success states (especially with free-slot queries vs event creation). If I were fixing this, I’d first isolate each scenario with controlled test payloads outside Retell, then validate GHL responses directly before reintroducing the voice layer. Once that’s stable, I’d harden the Make flows with explicit error handling and idempotent booking logic so repeated webhook calls don’t create duplicate appointments. I can usually stabilize this kind of setup within 4–8 hours depending on how messy the current scenario logic is. Kind regards, Abel.

@hlibt

Hi there. Does the booking scenario fail mainly on GHL appointment creation, or after contact/conversation and SMS/email steps? Should Retell send one shared webhook with intent routing, or separate webhooks for availability and booking? This is a clear Make, GoHighLevel, and Retell debugging task. I would audit both scenarios, check API headers, scopes, payloads, timezone logic, Tuesday/Thursday rules, 30 day slot search, then test with Retell calls until the full flow is stable. I faced a similar challenge with an AI booking automation where voice webhook data, CRM calendar slots, contact creation, and confirmation messages failed because of small payload and timezone mismatches. The flow worked sometimes, but not reliably enough for real customers. I solved it by logging each webhook step, validating date formats, fixing GHL API v2 requests like free-slots, appointments, contacts, and conversations, and adding fallback error paths. I have worked with Make automations, GHL API v2 style calendar flows, and AI webhook integrations. I estimate 6 to 10 hours after access. Hope to discuss more on chat. Best, Hlib T.

@SamChicquen

Hey, The booking webhook failing after the caller confirms a slot is the right place to focus. I’ve built around AI voice, CRM, lead flow, and appointment paths, and this looks less like a rebuild than a handoff problem between Retell, Make, and GHL. Booking-step failures like this usually come down to payload shape, calendar rules, or state getting lost between the voice agent and the API call. For context, I’ve built 15+ AI automation systems across lead generation, phone handling, and service-business operations, including speed-to-lead systems, support chatbots, and CRM-connected flows that had to survive real inbound volume. I won’t pretend I’ve seen your exact GHL app yet, but I can audit both Make scenarios, check the GHL v2 headers, scopes, and calendar payloads, test the Retell webhook path, and leave you a free written handover. I put together a quiick note on the S2 booking path and the failure points I’d check first. You wouldn't be opposed to me sending it over, would you? Cheers, Sam

@jamesp276

✦ This looks like a classic orchestration stability problem where Retell, Make, and GoHighLevel individually work, but the booking flow becomes unreliable because of payload timing, timezone normalization, API version handling, or intermittent scenario state failures inside Make. I can audit both scenarios end-to-end and stabilize the entire flow instead of only patching isolated errors. The focus would be: • validating GHL API v2 headers/scopes • checking /free-slots and appointment payload structures • fixing timezone/date normalization • handling retries and intermittent Make execution failures • validating Retell webhook payload consistency • ensuring Tuesday/Thursday scheduling logic behaves predictably • testing full voice-call → booking → confirmation flow repeatedly I’ve worked with GHL private integrations, calendar endpoints, webhook automation flows, and conversational AI pipelines where reliability matters more than simply “working once.” The biggest issue in systems like this is usually hidden state inconsistency between Make scenario branches and GHL calendar responses, so I’d trace the entire execution chain carefully rather than applying temporary fixes. Estimated completion: • audit + stabilization: 1–2 days • testing & hardening: additional 1–2 days ✦ Once finished, you’ll have a reliable booking pipeline with a Loom walkthrough and cleaner automation logic that’s much easier to maintain long-term.

@mikes126

Review Retell AI webhook payloads and confirm data mapping consistency between availability and booking flows. Validate all GoHighLevel API calls, including headers, scopes, payload formatting, calendar IDs, and appointment creation endpoints. Debug intermittent failures by checking Make execution history, router conditions, error handlers, retries, and malformed date/time conversions. Rebuild timezone logic for America/Los_Angeles, enforce Tuesday/Thursday scheduling rules, and apply the 30-day search window correctly. Test end-to-end using Retell AI test calls until booking, SMS, and email confirmations run reliably without race conditions or duplicate events. Optimize scenario stability and logging so future troubleshooting is easier. Deliver a short Loom walkthrough explaining all fixes, API structures, and maintenance recommendations.

@billyw14

✅ Ready to jump in and get this done the right way—clean, fast, and reliable. ✅ I reviewed your urgent booking system debugging project carefully, and I understand how critical it is to quickly identify and resolve issues without disrupting the existing workflow. Problems in booking systems can directly impact customers, payments, scheduling, and overall business operations, so stability and fast troubleshooting are extremely important here. I’m a senior full-stack developer with strong experience in debugging complex web applications, REST APIs, backend systems, database issues, and production-level troubleshooting. I’ve worked extensively with booking and scheduling platforms where quick diagnosis, clean fixes, and maintaining system reliability were essential. I’m confident I can help stabilize your booking platform and get everything functioning smoothly again. Looking forward to discussing the issue details and getting started right away.

@nabeeli18

We’ve worked on a project with a very similar scope, giving me strong insight into delivering quality results efficiently. I understand the importance of a clean user-friendly UI for high-end customers. I'm well-equipped to audit and stabilize the AI booking system integration, ensuring seamless functionality for your landscaping company. Let's chat about your project and walk away with a free consultation. Regards, Nabeel Ismail

@Dmitrii16

Hello, my name is Dmitry. I understand the problem: the Make scenarios are mostly built, but the booking flow is still not stable between Retell, GoHighLevel and the calendar logic. These setups often look almost finished, but one small issue in timezone conversion, contactId, calendarId, locationId, headers, or the appointment payload can break the whole booking path. I recently worked on a similar AI appointment-booking workflow with n8n and GoHighLevel, including booking behavior, prompt/tool logic, edge cases, and workflow reliability. For your setup, I’d trace the full path from the Retell webhook payload into Make, then check the availability scenario, booking payload, GHL headers, calendar endpoint calls, contact handling, and final email confirmation. Answers: 1. I’ve worked with GoHighLevel appointment booking logic and appointment-related payload issues. I’d review your current Private Integration setup and exact endpoint calls before changing anything. 2. I haven’t worked with Retell specifically yet, but I’ve worked with AI call/webhook-style payloads and booking automation logic, so debugging the Retell-to-Make side is fine. 3. I’d estimate 6–10 hours depending on the current errors. I can do the audit, fix the failing booking path, test the full flow, and record a short Loom handover.

@lucaslauer94

I've built AI voice receptionist systems using similar stacks — webhook-triggered automation, CRM integration, and multi-step booking flows. Here's my read on your setup: The intermittent failures on your booking scenario are most likely one of three things: payload mapping mismatch from Retell's webhook (field names or data types the GHL endpoint doesn't accept), a timing/auth issue with the Private Integration token, or the free-slots response not being parsed correctly before the appointment creation call. To answer your screening questions directly: Yes, I've worked with GHL API v2 — including the Version: 2021-07-28 header, Private Integration tokens, /calendars/free-slots, and /calendars/events/appointments endpoints. Yes, I've handled Retell AI webhooks, including custom function triggers and end_call flows. Estimated hours: 3–5h for full audit and fix, depending on what the execution logs show. My approach: I'll start with a full review of both scenario execution logs before touching anything, map every API call against GHL's v2 spec, and test the complete flow end-to-end with a Retell test call. You'll get a short written handover explaining every change. Ready to start immediately. Can you share a recent Make execution error log in the first message?

@omard211

You have two Make scenarios that work sometimes and break sometimes. That points to payload mismatches or inconsistent API responses from GHL that your error handling isn't catching yet. I've integrated Make with GoHighLevel's v2 API using the 2021-07-28 version header and Private Integration tokens. I've worked with the calendar endpoints you mentioned, free-slots and appointment creation, plus contacts and conversations. I've also built webhook-triggered flows with Retell AI voice agents. Same architecture you're describing. My first step would be opening both scenarios and reading every module's input and output mappings against the actual API responses. That's where intermittent failures usually hide. Timezone logic and the Tuesday/Thursday filter are easy to get wrong when GHL returns slots in UTC. I'll make sure that conversion is airtight across the 30-day window. I'd estimate 4 to 6 hours for the full audit, fixes, and testing with a live Retell call. You'll get a Loom walkthrough and written notes so you can maintain everything yourself. Happy to work in English.

@slavkom1

Hi there, The booking scenario is the risky part here, especially with GHL calendar payloads and timezone edges. I can audit both Make scenarios and get the Retell webhook flow stable. I’ve worked with GoHighLevel API v2, including Private Integration tokens, Version: 2021-07-28 header, contacts, conversations, free-slots, and appointment booking endpoints. I’d check the Retell webhook outputs first, then trace each Make module, headers, scopes, date parsing, LA timezone conversion, Tuesday/Thursday filters, 30-day lookup, contact creation/update, appointment payload, SMS/email confirmation, and error handling. After fixes, I’ll run test calls until both check availability and booking work consistently. I can start quickly and should be able to stabilize it within 3 days if access is ready. I’ll also record a short Loom showing what changed and why. Have you already captured the exact GHL error body from the failed booking module, or should I start by reproducing it in Make? Thanks, Slavko

@thaakirh8

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