Patrick Diamitani. 16 production AI systems live at Atlas HXM. $9M+ pipeline attributed in 30 days. 50+ daily non-technical users. Published ROSTR framework. Now taking one new client this month — inbound chatbots, outbound engines, RAG systems, sales automation. Fixed scope, fixed price, shipped in 2 weeks.
You're a founder or revenue leader. You've bought AI tools. Your team isn't using them. I come in, ship one production-grade AI system in your GTM, and hand it off working. No retainers. No "engagements." One deliverable, two weeks.
AI-powered lead qualification chatbot + CRM routing + auto-follow-up. The same pattern that attributed $9M pipeline at Atlas HXM, scoped to your ICP and stack.
Clay + n8n + AI outbound system that fills your pipeline with researched, personalized cold outbound — at ~$0.40 per lead, fully attributed, with kill switches and cost controls built in.
RAG system for sales enablement. AI call summarization + CRM update. AI compliance screening. Custom agent for your specific workflow. Anything in the AI/automation space, scoped to fit.
All engagements signed as 1099 contracts through Diamitani Industries Inc (NY C-Corp, est. 2014). Net-15 invoicing. NDA available on request. Currently booking for September-October 2026 starts.
Each practice has its own domain expertise, but they share the same production standard — the ROSTR framework, dry-run defaults, audit trails, and cost engineering.
From SOP to shipped system. Agents, skills, prompt libraries, and production web apps — with adoption built in from day one, not bolted on after.
Outbound engines, CRM workflows, attribution systems, and RevOps builds that revenue teams can run every single day — not demos that impress once.
Four principles that run through every engagement — the same production discipline visible in the 16-system enterprise portfolio.
Language models handle what they're good at — reading unstructured text, mapping messy values to clean categories, drafting first-pass copy — while the actual decision is made by deterministic, testable code that produces the same answer on the same input, every time.
Nothing ships without a dry-run path, a rollback plan, and a way to fail loudly instead of silently. Systems that touch live CRM data default to report-only until a human signs off.
AI and enrichment spend is treated as an engineering constraint, not an afterthought. Free eligibility checks run before any paid step, and every workflow reports its own cost.
The most durable output isn't any single automation — it's the standard that makes the next one faster to build safely. A shared build methodology means the organization's AI capability compounds.
Production apps built and deployed — AI-native SaaS, consumer products, and civic tech. Same build standard, different domains.
AI-powered fitness app with personalized workout plans curated from YouTube, TikTok, and Reels. Accountability partners and streak tracking.
trainlola.com →AI messaging assistant that rewrites impulsive or emotionally charged texts — preserving your voice, improving your message.
replaiall.com →AI-powered credit repair agent that guides users through identifying and resolving credit profile issues automatically.
fcragent.com →Coworking space directory — find, compare, and book from 7,000+ locations across 1,100+ US cities.
huddleco.work →Music business education platform with courses, templates, and AI tools for independent artists building sustainable careers.
academy.artispreneur.com →AI-powered social connection app helping users find compatible people to hang out with based on interests and availability.
letsvibeai.com →Whether it's an AI agent, a GTM automation, or a full production app — reach out directly.