Client Case Study · Nonprofit AI Lupita: The bilingual AI assistant 2,000+ non-profit employees can actually use to make a difference. AZ Technology Solutions built Lupita for Chicanos Por La Causa — an AI assistant that lives inside Microsoft Teams, giving every employee instant, trustworthy answers to their HR & IT questions in [...]
RAG Knowledge Assistant
Cortana2026-02-17T08:02:02+00:00Generic AI chatbots give generic answers. When your team or customers need accurate responses grounded in your actual business data — internal docs, knowledge bases, SOPs, product documentation — you need Retrieval-Augmented Generation (RAG). Our RAG Knowledge Assistant delivers exactly that: an AI that answers questions using your own data with high accuracy. Built on [...]
AI Resume Parser
Cortana2026-02-18T00:02:50+00:00Hiring at scale means processing hundreds — sometimes thousands — of resumes. Manually extracting candidate data from PDFs, Word docs, and other formats is tedious, error-prone, and slow. Our AI Resume Parser automates the entire pipeline, turning unstructured resume files into clean, structured candidate data in seconds. The system handles multiple file formats automatically, routing [...]
LinkedIn AI Auto-Responder
Cortana2026-02-17T08:02:04+00:00High-volume LinkedIn outreach creates a good problem: too many conversations to manage effectively. Our LinkedIn AI Auto-Responder solves this with an intelligent system that drafts contextual responses to incoming LinkedIn messages while keeping a human firmly in the loop for every send. The system uses Unipile for LinkedIn API access, pulling in new messages and [...]
CallForge — AI Sales Call Analysis
Cortana2026-03-10T07:27:31+00:00Every sales call contains valuable intelligence — competitor mentions, feature requests, objection patterns, and buying signals. But when your team handles hundreds of calls a week, those insights get lost in the noise. CallForge is our 8-workflow AI system designed to change that, turning raw sales call recordings into structured, actionable business intelligence. Built [...]
Fullscript — Saving Hundreds of Hours a Month with n8n + AI
2026-06-27T23:02:23+00:00CASE STUDY · n8n + AI How Fullscript, a health-and-wellness platform, used n8n and AI to route critical workflows through the tools their teams already had open — and save hundreds of hours every month. Not by buying more software, but by meeting people where they already work. A real-world look at the “tool [...]
Automate a Viral Newsletter with n8n + Real-Time Web Data
2026-06-27T23:04:15+00:00LIVE BUILD · CONTENT AUTOMATION A live build: a newsletter that writes itself from real-time web data — automated end to end with n8n. Research, draft, and publish without the manual grind. Watch the whole pipeline come together live: pulling fresh web data, shaping it with AI, and turning it into a publish-ready newsletter [...]
We Maxed Out n8n — Enterprise-Scale Benchmarking
2026-06-27T23:03:01+00:00BENCHMARK · n8n AT SCALE Is n8n fast enough for the enterprise? We pushed it to its limits to find out — benchmarking throughput, concurrency, and exactly where it breaks under real enterprise load. A hands-on scale story for teams evaluating n8n for serious workloads: what it handles comfortably, where the ceiling actually is, [...]
From Prompt to Production — Smarter AI with Evaluations
2026-06-27T23:03:38+00:00AI ENGINEERING · EVALUATIONS Most AI demos work once and break in production. This is how to ship AI you can actually trust — using evaluations to measure quality, catch regressions, and prove a system works before it touches real users. Practical AI evals built in n8n: the feedback loops that turn a flaky [...]
n8n at SCALE — Office Hours for Scaling Teams & Enterprises
2026-06-27T23:04:52+00:00LIVE SERIES · n8n AT SCALE A live series I ran for teams scaling n8n in production — open office hours covering the real questions enterprises hit: architecture, performance, security, and getting AI workflows all the way to production. Four sessions of practical, unscripted guidance for teams running n8n at scale — the kind [...]









