AI Systems That Work
No theory. No promises. AI systems we built that run in production — with full architecture.
AI Sales Agent
An Agent that receives leads, summarizes, ranks and sends a personalized email automatically within 3 minutes — with no human touch.
Lead Form → Webhook → n8n → Claude API (Scoring) → Gmail API → CRM
You are an AI sales manager. You received a new lead with the following details: [name], [company], [role], [source]. Do: 1) Analyze the lead profile and rank 1-10 2) Identify main Pain Points by role and industry 3) Write an initial personalized email (100-150 words) that addresses a specific problem 4) Suggest 3 conversation topics for the meeting Output in JSON format.
Content Factory
A Pipeline that produces 30 pieces of content per day — blog, social, email — from a single topic.
Keyword → GPT-4o → Blog Post + 5 Tweets + LinkedIn + Email → Publish
Topic: [insert topic]. Create: 1) A full blog post (800 words, title, 4 paragraphs, CTA) 2) 5 tweets on Twitter/X (up to 280 characters each) 3) A professional LinkedIn post (200 words) 4) Email subject + summary (50 words) Maintain a consistent brand voice. Output in JSON format with keys: blog, tweets, linkedin, email.
Lead Gen Machine
Searches for leads on LinkedIn, summarizes the profile, ranks fit and sends a personalized connection request.
LinkedIn Search → Scrape → GPT Analysis → Score → Send Message
You are a B2B lead generation expert. You analyzed the following LinkedIn profile: [paste profile]. 1) Rank the fit for our product [describe product] on a 1-10 scale with an explanation 2) Identify 3 Pain Points they likely have 3) Write a personalized connection request (up to 300 characters) 4) Suggest a subject line for initial messaging
Customer Support Bot
A Chatbot with RAG over the documentation — answers 85% of questions, escalates to a human only when needed.
User Question → Embed → Pinecone Search → Claude → Answer / Escalate
You are an AI support agent for [company name]. Your rules: 1) Always answer in English, in a friendly and professional tone 2) If you do not know — say so directly and do not make up information 3) Try to solve in 3 steps maximum 4) If the issue is complex — escalate to a human agent with a summary 5) At the end of every solution ask: "Did this help? Is there anything else?" Knowledge base: [insert FAQ]
Invoice Processor
Receives PDF invoices by email, extracts data, validates and updates Google Sheets automatically.
Email → PDF → Claude Vision → Extract Data → Validate → Sheets → Slack Alert
Analyze the following financial report: [insert data]. Provide: 1) Executive summary (5 lines) 2) 3 key trends 3) Risk areas that require attention 4) Action recommendations (3-5) 5) A forecast for next quarter based on the trends Format: a structured report with headings.
Website AI Manager
An Agent that scans the site weekly, identifies pages that need updating and suggests concrete improvements.
Crawl Site → Analyze Content → Score Freshness → Generate Updates → Report
You are an AI content manager. You received the following page content from the site: [paste page content]. Do: 1) Relevance and freshness score 1-10 2) Identify outdated or missing information 3) Suggest 3 concrete content improvements 4) Write an updated paragraph for the weakest section 5) Recommendation: update urgently / update when convenient / fine JSON format.
HR Onboarding Automation
Generates an employee file, sends a welcome, adds to systems and sets up intro meetings — automatically.
New Employee → Create Profile → Send Welcome → Add to Tools → Schedule Meetings
You are a senior AI recruiter. You received a resume: [paste CV]. The position: [job description]. Do: 1) Fit score 1-100 with details 2) A list of relevant strengths (3-5) 3) Gaps or concerns (2-3) 4) 5 interview questions personalized to the background 5) Recommendation: proceed/do not proceed + a short explanation
Social Listening Agent
Monitors mentions on Twitter/LinkedIn for keywords, summarizes sentiment and sends a daily report.
Twitter API → Filter Keywords → GPT Sentiment → Daily Digest → Email
You are an AI social media manager. The platform: [Facebook/Instagram/LinkedIn]. The topic/event: [specify]. Create: 1) A main post (adapted to the platform, tone, length) 2) Relevant Hashtags (5-10) 3) A ready reply to a common negative comment 4) 3 A/B variations for the title/first line Include Emoji in the right dose.
AI Email Responder
Reads incoming emails, classifies, drafts a reply and sends — for about 70% of emails with no human touch.
Gmail → Classify → Draft Response → Human Approval (high-stakes) → Send
Customer: [name], [company], [role], [purchase history]. Write a personalized email for: [reason for sending — promotion/update/follow-up]. Include: 1) A subject line (A/B — write 2 options) 2) Email body (150-200 words, address by name, refer to previous purchases) 3) One clear CTA Do not use a generic template.
E-commerce Automation
Manages inventory alerts, updates prices based on competition and sends campaigns to VIP customers.
WooCommerce → Monitor Stock → Price Compare → Update → Segment → Campaign
You are an AI e-commerce manager. You received the following inventory data: [insert data]. Do: 1) Identify products with low stock (below [X] units) 2) Compare prices to competition — where are we higher/lower by 10%+ 3) Suggest an updated price for each product with reasoning 4) Identify VIP customers who purchased this product in the past for a campaign JSON output.
Meeting Summary Agent
Records Zoom meetings, transcribes, extracts Action Items and sends to each participant within 5 minutes.
Zoom Recording → Whisper Transcribe → GPT Extract → Action Items → Slack/Email
Below is a meeting transcript: [paste transcript]. Extract: 1) Meeting summary (5-7 lines) 2) A list of Action Items — for each: owner, task description, deadline if mentioned 3) Key decisions made 4) Open questions that require an answer 5) Topics for the next meeting Output in structured Markdown format.
Research Agent
An Agent that researches a topic, reads 20+ sources, summarizes and produces a full report with verified sources.
Topic → Search → Scrape → Analyze → Synthesize → Report with Citations
You are a professional Research Agent. The research topic: [insert topic]. Do: 1) Summarize the current state of knowledge on the topic (3-4 paragraphs) 2) Identify 5 reliable relevant sources with links 3) Analyze the main trends in the field 4) Points of disagreement or uncertainty 5) Well-founded conclusions with citations Output: a structured research report with headings and detailed sources.
PR Monitor
Scans brand mentions across 50 sources, summarizes sentiment and reports every morning.
RSS Feeds + Google News → Filter → GPT Sentiment → Morning Report
You are an AI PR analyst. Below are mentions of the brand [brand name] from today: [insert mentions]. Analyze: 1) Overall sentiment (positive/negative/neutral) with a 1-10 score 2) 3 main topics that came up 3) Urgent mentions that require an immediate response 4) Trend vs. yesterday — rise/fall in exposure 5) A recommended response to the most prominent negative mention
Financial Dashboard Agent
Collects data from Sheets, CRM and Stripe — computes KPIs and updates a dashboard automatically.
Sheets + Stripe + CRM → Aggregate → Calculate KPIs → Update Notion Dashboard
You are an AI CFO. You received financial data from the following sources: Stripe revenue: [data], CRM deals: [data], Sheets expenses: [data]. Compute and report: 1) Current MRR and ARR 2) Monthly Churn Rate 3) Average CAC and LTV 4) Burn Rate and Runway in months 5) 3 business insights from the data Format: a table + executive summary.
Legal Contract Analyzer
Analyzes PDF contracts, identifies problematic clauses and generates a legal summary within 2 minutes.
PDF → Claude Extraction → Risk Analysis → Flag Issues → Summary Report
You are an AI lawyer specializing in business contracts. Analyze the following contract: [paste contract text]. Identify: 1) Problematic or non-standard clauses — detail each one 2) Obligations that could harm our side 3) Missing clauses that are commonly included 4) Overall risk rating: low/medium/high with reasoning 5) Recommendations to reword 3 key clauses Note: this is not binding legal advice.
YouTube Content Machine
Analyzes competitor videos, generates a script, thumbnail ideas and an SEO title in one click.
YouTube URL → Transcript → Analyze → Generate Script + Title + Thumbnail Brief
You are an AI YouTube content creator. The topic: [insert topic]. The audience: [describe target audience]. Create: 1) 5 catchy titles (SEO-friendly, with numbers and keywords) 2) A full Script for an 8-10 minute video (intro, 3 chapters, summary+CTA) 3) An SEO-optimized YouTube description (300 words) with Hashtags 4) A Brief for the thumbnail image — background, text, colors 5) 3 ideas for follow-up videos Structured output by sections.
Bug Report Triage
Receives bug reports from GitHub, classifies by severity, ranks and assigns to the right developer.
GitHub Webhook → Classify Severity → Match Developer Skills → Assign → Notify
You are an AI development manager. You received a new bug report: [paste issue content]. The dev team: [list of developers with areas of expertise]. Do: 1) Severity classification: Critical/High/Medium/Low with reasoning 2) Identify the relevant component/module 3) Estimate the expected fix time 4) Choose the most suitable developer with an explanation 5) Write a clear description for the GitHub issue including steps to reproduce
Onboarding Survey Agent
Sends an onboarding survey to new employees, analyzes responses and provides insights to HR.
Typeform → New Response → GPT Analysis → Tag Issues → HR Dashboard
You are an AI HR analyst. You received onboarding survey responses from a new employee: [paste responses]. Analyze: 1) Overall onboarding experience score 1-10 with reasoning 2) Strong points in the onboarding process 3) Problems or blockers the employee experienced 4) Red flags that require immediate HR attention 5) Recommendations to improve the process for the next employees Output: a short report with tags for classification.
Multi-Channel Campaign Agent
An Agent that runs a marketing campaign simultaneously on Email, LinkedIn, Twitter and WhatsApp.
Campaign Brief → Generate Variations → Schedule → Monitor → Optimize
You are an AI campaign manager. You received a brief: Product: [describe product], audience: [describe audience], goal: [conversions/awareness/leads], budget: [amount]. Create variations for each channel: 1) Email — subject + short body (100 words) + CTA 2) LinkedIn — professional post (150 words) 3) Twitter/X — 3 tweets 4) WhatsApp — a short and personal message (50 words) For each channel — matched tone and length. JSON output.
AI-Powered A/B Testing
Generates landing page variations, runs an A/B test and automatically decides which one won.
Landing Page → Generate Variants → Deploy → Monitor → Statistical Analysis → Winner
You are an AI CRO and A/B Testing expert. The current landing page: [paste page content/description]. Performance data: [current conversion, traffic, Bounce Rate]. Create: 1) 3 variations for the main headline with psychological reasoning for each 2) 2 variations for the CTA button (text + recommended color) 3) One key structural change that could improve conversions 4) A clear hypothesis for each variation — what we are testing and why 5) Criteria for declaring a winner (sample size, confidence level)
No systems found in this category.
Want a system like this for your business?
Learn to build it yourself through the Academy — or we'll build it for you.