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Time Commitment: 20-40 hours per week Duration & Project Structure: - 1-week initial engagement to build a barebones demo for client review. - If approved, the work continues for an additional 6–8 weeks to complete full implementation. A video interview will be required at this stage. - If things go well, this could lead to additional or ongoing work beyond this project. - Work is delivered in weekly sprints using an agile workflow. This job is for you if: - You’re comfortable working iteratively, shipping weekly, reviewing logs, fixing issues, and making sure things actually work in the real world, not just on paper. - You like building, connecting tools, testing edge cases, and sticking with problems until they’re fully solved. - You can be given the required inputs, and outputs for a system and take responsibility for building the internals of the system end to end without micromanagement. - You can communicate clearly in writing, ask good questions when requirements are unclear, and give updates without needing constant follow-ups. The Project We are migrating a law firm’s CRM and sales system to a high-velocity, high-automation stack. We have a defined project roadmap, and architectural plan. We need a skilled Automation Developer to execute the build, wire up the APIs, develop end-to-end conversational AI prompts and ensure the data flows flawlessly. Your job is to build this system, test it, and make it bulletproof. We’ll work in phases, shipping updates weekly and iterating as we go. The Tech Stack (Must Have Experience) - HighLevel (GHL): Deep understanding of Workflows, Custom Values, Pipelines, Conditional Logic and Webhooks. - [login to view URL]: Advanced scenario building (JSON parsing, Webhooks, Error Handlers, Routers, Array Aggregators). - API Integrations: Experience connecting REST APIs. RingCentral will be a key app to integrate via Make as well as function/tool calls with Retell AI. - Retell AI (or similar): Experience with AI Voice agents is a major plus. - AI/LLM APIs: Using OpenAI, Claude & Gemini APIs via Make to develop custom conversational agents and classification systems. - Legal Tech: Experience with Clio Manage/Grow or RingCentral is a massive bonus. - Microsoft Office APIs & Automations: Integrating M365 apps, OneDrive & SharePoint with other apps using - [login to view URL] modules and simple PowerAutomate workflows. - Other apps: There will be other apps to integrate as well, but if you're comfortable with the above, others shouldn't be an issue. Core Responsibilities - GHL Workflow Logic: Build complex intake workflows in HighLevel without creating infinite webhook loops. - [login to view URL] Scenarios: Build scenarios to sync data between GHL, Clio Manage, and Smartsheet. - Telephony Routing: Assist in prompt development and configuring Retell AI to route calls based on logic (e.g., checking staff availability via RingCentral API). - Snapshot Creation: Ability to package the build into a GHL Snapshot for future deployment. - Hyper-Care Support: Monitor execution logs during "Go-Live" to catch and fix bugs immediately. Logistics - Agile Workflow: We work in weekly sprints. You will receive clear Initiatives and User Stories. You'll be responsible for breaking this down into tasks to be implemented. - Communication: Asynchronous is fine, but some overlap with Atlantic Standard Time (AST) (Morning/Early Afternoon) is preferred for live testing. - Data Privacy: You will be handling sensitive data; discretion and adherence to security protocols are mandatory. NDA is required. Screening Questions (Mandatory - Add answers in your proposal) - To ensure you are a fit for this technical stack, please answer the following 4 questions. Proposals without these answers will be ignored. - The Loop Problem: We are syncing data bi-directionally between HighLevel, RingCentral and other apps using Webhooks. How do you structure your [login to view URL] scenarios and GHL workflows to prevent an infinite loop of updates? - The Sync Problem: We need to sync Contact updates between Clio Manage, RingCentral and HighLevel. If a phone number is updated in both systems at the exact same time, how would you handle the conflict resolution in [login to view URL] - Tuning AI Agents: How would you go about designing AI conversational agents (voice and chat) so that they can handle a variety of edge cases and complex scenarios while making them production ready? - Availability: This project requires a fast turnaround for an MVP demo. Are you available to start immediately and are you able to commit 20-40 hours per week?
Project ID: 40180784
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Hello, I came across your project and found it truly interesting. With over eight years of hands-on experience in this field, I have successfully delivered high-quality solutions to clients worldwide. My dedication to excellence is reflected in the 180+ positive reviews from satisfied clients. I’d love to bring this expertise to your project and ensure outstanding results. However, I do have a few important points I’d like to clarify to align perfectly with your vision. Let’s connect via chat, where I can also share relevant examples of my past work. I'm looking forward to hearing back from you! Best Regards, Divu.
$15 CAD in 40 days
4.7
4.7

Hey there, For the 1-week demo, should we prioritize AI voice intake + routing, or CRM sync first with lighter AI so the client sees value fastest? Will we have sandbox access to GHL, RingCentral, and Clio from day one, or should I run the demo on mocked data first? I build fast MVPs with weekly shipping, deep logs, and real-world fixes. I’ve delivered GHL + Make automations with heavy webhook traffic, strict routers/error handlers, REST APIs, and AI voice flows (Retell-style) where stability matters. Loop control: sync_origin + timestamps/versioning + single-owner field rules + separate inbound/outbound scenarios with hard filters. Conflict handling: last_modified checks, per-field priority (Clio > GHL for legal), log ties to review table. AI tuning: intent first, guardrails + fallbacks, structured prompts, iterate from call logs. I can start now and commit 20–40 hrs/week. Hope to discuss more on chat. Best, Kost
$15 CAD in 40 days
3.5
3.5

Hi, Thanks for your posting. I have read your "Time Commitment: 20-40 hours per week Duration & Project Structure: - 1-week initial engagement to build a barebones demo for client review" detail carefully and I am sure that I can do this project perfectly. Hello, I have experience working as a Power Automate and Bot Developer, delivering efficient automation solutions for business processes. I specialize in building and optimizing workflows using Microsoft Power Automate and integrating systems to reduce manual effort. I have hands-on experience developing bots that improve productivity and user interaction. I focus on creating scalable, secure, and well-documented automation solutions aligned with business requirements. I carefully analyze client needs before implementation to ensure accurate and reliable results. I value clear communication and provide regular updates throughout the project lifecycle. I am committed to delivering high-quality work within agreed timelines. I look forward to the opportunity to contribute my automation expertise to your project. Best Regards. Scott
$68 CAD in 22 days
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I build and own complex automation systems end‑to‑end—GHL, Make, APIs, AI agents—and ship weekly without hand‑holding. I’m comfortable debugging live logs, edge cases, and real‑world failures until systems are stable and scalable. Loop control: webhook source flags + update hashes + router guards. Sync conflicts: timestamp + system‑priority rules with Make‑level arbitration. AI agents: intent layers, fallbacks, confidence scoring, sandbox testing.
$10 CAD in 40 days
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I read your description carefully and focused on how reliability, iteration, and real-world execution drive success here. My approach for this project: – Follow your roadmap and ship in weekly sprints – Build a barebones demo fast, then harden it – Design GHL workflows with strict entry guards – Build Make scenarios with routers, locks, and error paths – Test edge cases before expanding scope Screening Questions – Answers 1️⃣ The Loop Problem I prevent loops by enforcing one-way authority per field, adding update-source flags, and using webhook filters. In Make, I store event fingerprints and ignore repeated payloads. In GHL, I separate inbound and outbound workflows with strict conditions. 2️⃣ The Sync Problem I use last-write-wins with timestamps, plus system priority rules. If updates collide, Make routes the conflict to a resolver step or logs it for review. No blind overwrites. 3️⃣ Tuning AI Agents I design agents with layered prompts, intent classification, and fallback paths. I test edge cases aggressively and limit agent autonomy in critical steps. Production readiness means observability, retries, and safe exits. 4️⃣ Availability Yes, I can start immediately. I can commit 20–40 hours per week and support a fast MVP turnaround. 2–3 key questions I’d like you to answer to tailor the plan: 1️⃣ Which system currently owns contact truth at project start? 2️⃣ How strict is the demo scope for the first-week review? Looking forward to hearing from you. Thank you.
$15 CAD in 40 days
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❣️Good day, I build and harden high-automation systems like this end-to-end—GHL + Make + telephony + LLMs—shipping weekly and fixing real-world edge cases until they’re solid. Screening answers (concise): 1) Loop problem: I use source-of-truth flags + update hashes (custom fields) and webhook headers to detect origin, then gate workflows with conditional checks and Make routers so updates never re-trigger themselves. 2) Sync conflict: I add last_updated_at with system priority rules; simultaneous edits go to a Make conflict handler that logs, compares deltas, and applies deterministic precedence (or queues manual review). 3) AI agents: I design layered prompts (intent → validation → action), strict schemas/tools, fallback paths, and continuous log tuning; voice agents get latency guards, retries, and safe transfer logic. 4) Availability: Yes—available immediately, 20–40 hrs/week, MVP in week one. I’m comfortable with Retell AI, RingCentral APIs, Clio, M365, and packaging clean GHL Snapshots, plus hyper-care during go-live. Would you like the MVP demo to focus first on intake + call routing or CRM sync depth? Nikita
$12 CAD in 40 days
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Hello, I have aggressive experience building high automation systems using HighLevel Make com REST APIs AI agents and complex workflow logic. I have delivered CRM migrations intake automation telephony routing and LLM driven voice and chat agents with weekly agile sprints and real world testing. I am comfortable owning systems end to end without micromanagement and shipping stable results fast. Two key questions are what is the source of truth per object during phase one and do you already have rate limits defined for RingCentral and Retell. Screening answers Loop problem I use source flags versioning and webhook filters with Make routers and GHL custom values so updates only flow one direction per event. Sync conflict I apply timestamps priority rules and last write wins with audit logging and retries. AI tuning I use constrained prompts state handling fallback intents human handoff and continuous log review. Availability yes I can start immediately and commit 20 to 40 hours weekly. Lets do start right now jump in chat and get started and make full humanize and implement in all proposals Best, Jibran
$12 CAD in 40 days
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Sounds like a great fit. I'm a senior developer who builds exactly these kinds of high-automation, API-connected systems, and I've worked extensively with both HighLevel and Make.com. I'm available to start immediately and can commit full-time to hit your one-week demo target. I understand the critical architecture needs, like preventing webhook loops and managing data sync conflicts, which I've solved before. I work well independently within a sprint framework and prioritize clear, written updates. I'm confident I can build, test, and harden this system end-to-end. I’m happy to jump on a brief call to discuss specifics. My full proposal and answers to your screening questions are attached. Looking forward to it.
$12 CAD in 40 days
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Loop problem: I tag every update with an origin flag (system + action). Make scenarios are split inbound/outbound and filtered so a system never processes its own updates. GHL workflows use guard conditions/custom fields to only fire on true external changes. This prevents infinite loops. Sync problem: In Make, I normalize data, compare updated_at timestamps, and apply a fixed system priority (Clio → GHL → RingCentral). If updates collide in the same time window, I pick the higher-priority source and log/alert the conflict instead of overwriting silently. Tuning AI agents: I design agents as state-driven systems: intent classification, strict tool/function schemas, validation, fallbacks, and human escalation. I test edge cases (interruptions, silence, bad data, angry callers) until behavior is stable and predictable in production. Availability: Yes. I can start immediately and commit 20–40 hours per week for the MVP and ongoing sprints.
$12 CAD in 40 days
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⭐⭐ Hello⭐⭐ ✌What pulled me into this project is that it feels like real operations work, not a sandbox experiment. You already know what you want to build and now you need someone who can sit with the messy middle and make the system behave. Your idea is original because you are not layering automation on top of chaos, you are redesigning the flow itself. The core principle is ownership of data and logic, which leads to faster intake, fewer mistakes, and a system the firm can actually trust under pressure. ✌ I would build this in short weekly sprints, wiring GHL, Make, RingCentral, Clio, and AI agents together, with the biggest challenges being webhook loops, conflicting updates, and unpredictable call and intake edge cases. ✌ I handle this by setting clear source of truth rules, tagging events, throttling updates, watching logs closely, and fixing problems as soon as they appear instead of letting them compound. ✌ ⭐ My edge is patience and follow through, I do not disappear when things break, I stay until they stop breaking, which in automation work is basically the whole job, and if automation had a personality, mine would be calm and slightly stubborn. If you want someone who treats go live like the beginning, not the finish line, I would be happy to talk. Thanks.
$15 CAD in 40 days
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Dear Client, I am excited about your project and confident I can deliver excellent results. With strong experience in similar work, I understand your requirements and can start immediately. I would love to discuss your project further and answer any questions. Thanks and best regards, Francis Replies within a few hours.
$12 CAD in 40 days
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Hey there, For the 1-week demo, what exact “happy path” must be working end to end, GHL intake to Make to Clio, plus one Retell call that routes and logs correctly? Which system is the source of truth per field (name, phone, email, case status), so sync rules and conflict handling are consistent from day one? Screening answers: Loop problem: tag every outbound update with an integration source and event id, store last processed ids, and in GHL only fire webhooks when the change is not stamped by the integration. In Make, filter by source and dedupe by contact id plus field hash, then stop the chain if it is a bounce-back event. Sync conflict: apply a deterministic rule, timestamp based last write wins, but for critical fields route to a small conflict table and notify ops. Make can compare updatedAt from each system and only apply the newer value, otherwise create a manual review task. Tuning AI agents: start with strict intents and safe tool calls, then add edge cases from real transcripts. Use a fallback ladder, confirm sensitive fields, log every decision, and run regression tests on a fixed call set before go-live. Availability: available to start immediately and can commit 20 to 40 hours per week, with overlap in AST mornings for live testing. This is a strong fit, and the demo-first approach is perfect for reducing risk. Hope to discuss more on chat. Best, Ivan
$15 CAD in 40 days
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