I am developing a high-stakes, mission-critical workflow in Make.com that serves as the intake and assessment engine for a high volume of legal/consumer dispute cases.
The core of the automation is 2-3 complex AI prompts (using the OpenAI & Claude modules that ingest structured case data and apply a detailed scoring rubric and a fixed set of rules to produce a single, strict JSON object.
This JSON output contains the case score, identifies evidence gaps, and determines jurisdiction-specific routing and strategy, among other things. Reliability and robust output are paramount.
Current Status and Required Troubleshooting
The core logic is built, but the existing Make scenario is not consistently robust, which is a major bottleneck to launching the system. We need an expert to immediately address the following:
JSON Consistency & Guardrails: Stabilize the AI module to ensure it ALWAYS adheres to the prompt’s hard guards, producing strict, clean JSON (no prose, no code fences) with consistent data types.
Logic Integrity: Review the current flow to confirm that the complex scoring rubric and routing rules (Jurisdiction, Scope, Payments) are flawlessly translated into the final JSON output.
Add additional prompts as needs reveal themselves.
Error Handling: Implement robust error-handling mechanisms (e.g., smart retries, detailed logging) to manage instances of failed JSON output without stopping the entire process.
Future Needs (Launch and Scaling)
This is a long-term partnership opportunity. Once the core scenario is fully stabilized, the expert will be needed to:
Finalize the integration with upstream (data source) and downstream (CRM/CMS) systems.
Optimize the scenario for high volume and efficient operation (low operation count/run time).
Provide ongoing support and build new case-handling features as the system scales.
Partnership Requirement
I strongly prefer a partner operating near or within the PST time zone.
Given the critical nature and tight deadlines of dispute handling, the ability to communicate readily and schedule live troubleshooting and co-building sessions is essential.
To Apply, Please Provide:
Your current location and guaranteed availability in [Your Time Zone].
A brief description of the most complex Make.com scenario involving AI/LLMs you have built, specifically one that required strict JSON output and robust error handling.
Your proposed starting point (e.g., initial 1-hour paid review/consultation).
We work 1:1 via our ZoomFlow model (single accountable developer, not a rotating bench). Team operates in MST (MX) and EST (NY) with daily PST overlap; next-day Zoom availability (often same day). Easy to reach via email/Slack and happy to schedule live co-builds.
Relevant build (strict JSON + error handling)
We run a high-volume call-analysis pipeline (thousands of calls/day, ~100+ fields per call). To keep JSON strict and clean, we:
Atomize prompts (one metric per call → one minimal JSON) to avoid schema drift.
Use a creator → validator LLM pattern to check/repair output before downstream steps.
Log to BigQuery for auditability and fast triage.
Happy to walk you through the validation/retry loop live.
Proposed starting point
Start with a brief 25min scoping call.
Then a 1-hour paid stabilizer review (same/next day): share your Make blueprint, prompts, JSON contract, and 5–10 failing samples. We’ll return a lightweight risk list + guardrail plan and timeline to harden the scenario.
Hey @Steven_Chayer , this is an awesome automation. I would love to work with you on this. You can schedule a call with me here so we can talk about this better.
Hello @Steven_Chayer , welcome to make.com community, I have worked and have experience with Make.com and l will love to collaborate with you on this you can schedule a call Here and you can checkout my upwork profile Here, for my pastworks and certifications
Thanks for the post. We’re 4Spot Consulting, a Make Gold Partner based in Las Vegas, with Michael — our Technical Services Manager — located in San Francisco.
We actually have a solution already built for another client that’s doing almost exactly what you described: a complex AI-driven scoring system that generates and validates strict JSON output, with smart error handling and retry logic. It sounds like a very similar architecture to what you’re developing.
We’d recommend starting with a discovery call ($150) to review your existing setup, confirm alignment with your detailed requirements, outline the best path forward to stabilize and scale your workflow quickly, and determine the amount of dedicated time you would need. I’m available to chat (https://4spotconsulting.com/30), but it may be best for you to chat with Michael directly – you can book that here: https://calendly.com/4spotconsulting-michael/30min
Looking forward to connecting and helping you get this automation fully production-ready.
Your project sounds like a fascinating and high-impact use case — a legal/consumer dispute intake engine with AI-driven assessment and routing is exactly the kind of workflow where Make.com shines when built with the right logic structure and error safeguards.
I specialize in building and stabilizing advanced Make.com automations that combine OpenAI or Claude modules, strict JSON validation, and complex routing logic. I’ve helped teams in similarly regulated or high-stakes environments (finance, compliance, and claims management) enforce prompt guardrails, implement retry/error handling systems, and optimize AI calls for consistency and scale.
For your setup, I can:
Harden your AI modules to guarantee 100% JSON-compliant output with dynamic fallback logic.
Review and stabilize routing/scoring logic, ensuring all jurisdiction and payment rules are correctly applied.
Implement smart retries, structured logging, and alerting to keep your runs stable even at scale.
Optimize your flow for high volume and cost efficiency while maintaining reliability.
I’d be happy to audit your existing scenario and outline the improvements needed for stability and scale.
You can connect securely via Fiverr or book a quick call if you’d like to align before we dive in.
Best regards, Mavin C
Automation & Integration Expert
