You will get an AI lead intake workflow that qualifies prospects fast
Project details
Running a business is hard enough without losing good leads in the gap between the form fill, the callback, and the calendar. I will build a human-in-the-loop intake workflow that captures inbound leads, asks the right qualifying questions, routes the right prospects, and gives your team the context they need before they respond.
This is built around the JMS 10-80-10 model: you set the rules, AI does the heavy lifting, and your team keeps the final judgment. With 31 years of systems engineering experience behind the build, the deliverable is designed to be clear, documented, and practical instead of a fragile AI experiment.
This is built around the JMS 10-80-10 model: you set the rules, AI does the heavy lifting, and your team keeps the final judgment. With 31 years of systems engineering experience behind the build, the deliverable is designed to be clear, documented, and practical instead of a fragile AI experiment.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | |||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
About Jason
AI Automation Specialist | Workflows, LLMs & Smart System Integration
Winter Garden, United States - 7:41 am local time
I build AI powered solutions that amplifies your judgment instead of replacing it. My tagline is "Intelligence engineered by humans", so the humans on your team stay in the decision seat while AI handles the heavy lifting.
I build the AI powered agents and automation systems that your visual-builder freelancer cannot. Code-first, version-controlled, and built to scale.
With 31 years of systems engineering experience across complex operational environments, I help businesses eliminate manual overhead by deploying production-grade AI automation infrastructure. Not experiments. Not prototypes that break. Engineered systems with execution logs, structured error handling, and full observability so you can monitor, debug, and trust what's running your business.
𝗠𝘆 𝗰𝗼𝗿𝗲 𝘀𝘁𝗮𝗰𝗸:
Anthropic Claude, OpenAI, Trigger.dev, n8n, Supabase (PostgreSQL + pgVector), Next.js, Vercel
𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱:
- Autonomous lead capture and qualification pipelines that score, route, and respond to prospects in under 5 minutes
- Multi-channel follow-up engines (email, AI voice via ElevenLabs, AI avatar video via HeyGen) running on mathematically optimized cadences
- Real-time executive dashboards that surface pipeline KPIs, automation health, and content performance instead of static reports
- Client onboarding sequences that trigger automatically from payment to project kickoff with zero manual steps
- AI agent orchestration with multi-model LLM systems that read, decide, and execute across your tools
𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗺𝗲 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁:
Two things. First, the engineering: most automation freelancers drag and drop boxes in Zapier. I write TypeScript, deploy to production infrastructure, and deliver systems with version control, retry logic, and full execution logs. You never get a black box.
Second, the philosophy: I design every system around the 10-80-10 rule. You provide 10% direction, the AI executes 80%, and your team does the final 10% of judgment and polish. AI never decides for you. It equips you to decide better, faster, with more context. That keeps you in control, keeps your team respected, and keeps the system accountable when something goes sideways.
𝗛𝗲𝗿𝗲'𝘀 𝗺𝘆 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲: 𝗔𝗳𝘁𝗲𝗿 𝗮 𝟯𝟬-𝗺𝗶𝗻𝘂𝘁𝗲 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗰𝗮𝗹𝗹, 𝗜 𝘄𝗶𝗹𝗹 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝗮 𝗹𝗶𝘃𝗲, 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝘄𝗲𝗯 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝘂𝘀𝘁𝗼𝗺 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵𝗶𝗻 𝟮𝟰 𝗵𝗼𝘂𝗿𝘀, 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝘀𝗶𝗴𝗻 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁. 𝗬𝗼𝘂 𝘀𝗲𝗲 𝘆𝗼𝘂𝗿 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝘀𝗽𝗲𝗻𝗱 𝗮 𝗱𝗼𝗹𝗹𝗮𝗿.
Check my Portfolio section below for screenshots of real dashboards, architecture diagrams, and automation infrastructure I've built and deployed.
I understand both the technical side and the operational side. I've led teams, managed complex programs, and built systems inside serious organizations. That means I don't just build things. I build things that hold up under real load.
If you've got manual processes bleeding time, a workflow that keeps breaking, or you're trying to figure out where AI actually moves the needle, let's have a straightforward conversation about what you're dealing with and whether I can help.
I communicate clearly, am passionate about providing my clients maximum value, and will deliver on what I promise.
Steps for completing your project
After purchasing the project, send requirements so Jason can start the project.
Delivery time starts when Jason receives requirements from you.
Jason works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm workflow rules
We confirm lead sources, qualification rules, required handoffs, review checkpoints, and the selected package scope.
Map current process
I map the current intake path, identify friction points, and define where AI should assist without removing human judgment.