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Agent Lab

Agent Lab: real AI builds and project demos

These are working systems built by Waseem Hassan at NexaIntellect AI: an AI school platform with three AI agents, a restaurant business-intelligence dashboard and an n8n lead automation. Watch them run, try the live apps and take the workflow for your own n8n.

Build 01 · Education

EduCore AI: an AI school management platform

Built for a school that ran on Excel and paper. Staff ask questions in plain English, struggling students are flagged weeks before exams, and a three-agent AI crew reviews admissions.

Screen recording of the live app, sped up 1.5×, no sound.
  • Early warning. A machine-learning model flags at-risk students and explains why with SHAP, for example a sudden drop in maths.
  • Fee assistant. Ask "who still owes fees?" The AI picks one of five approved, read-only tools, so it cannot invent records.
  • Policy helper. A RAG chatbot answers only from the school handbook and shows its source.
  • Admissions crew. Three CrewAI agents check the rules, evaluate the applicant and draft a kind decision email.
FastAPIscikit-learn + SHAPFAISS RAGCrewAIGroq Llama 3.3Vercel
Build 02 · Restaurants

BBQ Analytics & AI: business intelligence for restaurant owners

A full-stack dashboard that turns a restaurant's sales data into decisions, with an AI assistant that answers questions about the business in plain English.

One-minute walkthrough of the live app with sample restaurant data: dashboard, analytics, products, forecasting, alerts and the AI assistant. No sound.
  • Real-time dashboards. Revenue, orders, margin, branch performance and product trends.
  • AI assistant. Ask "What are the top 3 products?" or "Which branch performs best?" and get an answer from the sales database.
  • Anomaly detection. Flags unusual sales patterns automatically.
  • Forecasting. Predicts upcoming sales so owners can plan stock and staff.
React + ViteFastAPISQLiteGroq / AnthropicModalDocker

Demo login: username demo, password demo (sample restaurant data). The first load can take a few seconds while the server wakes up.

Phase 2 in progress: online ordering and more restaurant management features.

Build 03 · Automation

n8n AI Lead Qualifier: never let a hot lead go cold

A new website enquiry is scored by AI in seconds, logged, routed and answered. Hot leads trigger an instant alert to the team. Click Run with a sample lead to watch each step, or click any step to see its data.

Ready

Press "Run with a sample lead" to start.

Data at this step

{ }

This walkthrough uses a sample lead from a fictional clinic, and the AI verdict shown is an example of what the scoring step returns. The download is the actual workflow: import it into your own n8n, add a free Groq API key, Google Sheets and email credentials, and it runs on your leads. Want it set up and connected to your website and CRM? We can do that for you.

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Project demos · 30-second videos

Watch our AI projects work

Four short videos of AI systems built by NexaIntellect AI: an n8n lead-qualifying workflow, a live restaurant BI dashboard, a document RAG assistant and a content repurposing engine. Each badge says exactly what you are watching: a live app, a workflow walkthrough or a concept demo.

WorkflowLead-qualifying assistant · 35 sec

AI lead qualifier: every website lead scored and routed

A lead fills in the website form. The n8n workflow sends it to Groq Llama 3.3, which scores intent and budget, picks the best-fit service and routes it: logged to Google Sheets, hot leads alert the team, spam gets no reply.

n8n · Groq Llama 3.3 · Google Sheets · Email

Live appRestaurant BI dashboard · 31 sec

BBQ Analytics & AI: restaurant business intelligence

A live dashboard for restaurant owners: revenue and orders by branch, product analytics, a six-month machine-learning forecast, anomaly alerts and an AI assistant that answers questions about the sales data in plain English.

React · FastAPI · Python ML · Groq AI

Live demoDocument RAG assistant · 31 sec

Document Q&A assistant: answers only from your files

A RAG assistant that searches a clinic’s FAQ, price list and policies, answers with the exact source passage, and says so when the answer is not in the documents instead of guessing. It runs entirely in the browser.

RAG · MiniLM embeddings · Semantic search · transformers.js

Concept demoContent repurposing engine · 34 sec

Content repurposing engine: one article, a week of posts

A concept walkthrough of how one blog post becomes seven platform-ready posts: AI pulls out the key stats, quotes and tips, rewrites them in your brand voice for LinkedIn, X, Instagram and more, and you approve each one before it is scheduled.

LLMs · Brand-voice prompts · Scheduling APIs

Live apps use sample data. The content repurposing engine is a concept demo showing how the system would work for your brand.

What is an AI agent?

An AI agent is software that uses a language model to work toward a goal: it decides which steps to take, uses approved tools such as a database search or a calendar, and reports back. A multi-agent system splits a job between several specialised agents, like the three-agent admissions crew in EduCore AI.

What each build shows

  • EduCore AI (education): a machine-learning early-warning model with SHAP explanations, a fee assistant that only uses read-only tools, a RAG policy chatbot built with FAISS, and a CrewAI admissions crew of three agents. Built with FastAPI, scikit-learn and Groq.
  • BBQ Analytics & AI (restaurants): live sales dashboards, anomaly alerts, a six-month revenue forecast and an AI assistant that answers questions from the sales database. Built with React, FastAPI and SQLite.
  • n8n AI Lead Qualifier (automation): an n8n workflow that scores each new website lead with AI from 1 to 10, logs it to Google Sheets, alerts the team about hot leads and sends the lead a confirmation.

Build something similar

These builds show the same approach we use for clients: start from a real business problem, keep AI on approved tools and data, and measure the result. Explore our AI agent development, AI business dashboards and AI automation services, or read the EduCore AI case study.

Agent Lab FAQs

Are these real AI projects or concept demos?

They are real, working builds. EduCore AI and BBQ Analytics have live apps you can open, and their code is on GitHub. The n8n workflow is the actual file you can download and import. In the project demo videos, each one is labelled: the content repurposing engine is a concept demo that shows how that system would work.

What is CrewAI used for in EduCore AI?

CrewAI runs EduCore's admissions crew: a Requirements Analyst reads the admission policy, an Eligibility Evaluator checks the applicant against it, and a Final Program Advisor drafts a kind decision email and suggests alternatives if the applicant is not eligible.

What does the n8n AI lead qualifier workflow do?

It receives each new website enquiry, uses a Groq-hosted Llama 3.3 model to score it from 1 to 10 and match it to a service, logs it to Google Sheets, emails the team instantly about leads scoring 7 or more, and sends the lead a confirmation with a booking link.

Is the n8n workflow free to use?

Yes. Download the JSON file from this page and import it into your own n8n. You add your own free Groq API key, Google Sheets connection and email account. We can also set it up and connect it to your website and CRM for you.

Can NexaIntellect AI build an AI agent for my business?

Yes. Most projects start with a free strategy call to find the task that would save the most time, followed by a small first build you can test before scaling up.

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