Lesson 6. Project Presentation#
Goal: prepare a project presentation and present it.
Presentation Format#
The project presentation is your chance to show that you can:
- choose tasks (understand business problems)
- create SOWs (clearly formulate requirements)
- implement agents (use tools, integrations, logic)
- calculate impact (show business value)
- present (sell the idea)
Format: presentation + demo (can be recorded video or live).
Presentation Structure#
Slide 1: Title
- project name
- your name
- date
Slide 2: Problem
- who the agent is for (target audience)
- what problem it solves
Slide 3: Solution
- what the agent does (briefly, 2–3 sentences)
- technologies used (Zapier / n8n + Telegram + CRM + OpenAI)
Slide 4: How it works (diagram)
- workflow diagram (visual)
- brief step description
Slide 5: Impact
- time saved / conversion growth / cost reduction (in numbers)
- ROI (payback)
Slide 6: Demo
- show how the agent works (screenshots or video)
- sample dialogue (user → agent → result)
Slide 7: What's next
- how the agent can be improved (if you have ideas)
- how to sell it (who to offer, what price)
Slide 8: Questions
- "Thank you for your attention! I'm ready to answer questions."
Presentation Checklist#
Materials:
- Presentation (PowerPoint, Google Slides, PDF)
- Demo (video or live)
- Technical specification (SOW)
- Workflow diagram
- Impact calculation
- Commercial proposal (CP)
Delivery:
- Presentation fits in 10–15 minutes
- Demo works (agent responds, data is sent)
- You answered questions
Evaluation criteria:
- Task solves a real business problem
- Agent works (all SOW features implemented)
- Impact calculated (savings / growth / ROI)
- Presentation is clear (can be shown to client)
Module Practice#
Practical Assignment: Create the Final Project#
Timeline: 2–4 weeks
What to do:
- Choose a task (Lesson 1)
- Create the SOW (Lesson 2)
- Draw the diagram (Lesson 3)
- Calculate impact (Lesson 4)
- Implement the agent (Lesson 5)
- Prepare presentation and present (Lesson 6)
Checklist:
- Task chosen (meets criteria)
- SOW created (all sections filled)
- Diagram drawn (visual, clear)
- Impact calculated (savings / growth / ROI)
- Agent implemented (works, tested)
- CP created (ready for client)
- Presentation prepared (10–15 slides)
- Demo recorded or delivered
Platform Choice for the Final Project#
Option 1: Zapier (simple task)
If your final project is a conversational agent (FAQ, qualification, consultation):
- Use Zapier
- Focus on prompts and knowledge base
- Integrations: Google Sheets / Airtable + Telegram
- Timeline: 1–2 weeks
Option 2: n8n (complex automation)
If your final project requires complex logic (branching, error handling, multiple integrations):
- Use n8n
- Focus on workflow (triggers, conditions, integrations)
- Can add AI nodes (OpenAI, Claude)
- Timeline: 2–4 weeks
Option 3: Hybrid (Zapier + n8n)
If you need both conversation and complex automation:
- Zapier Chatbot — for client communication (conversation part)
- n8n — for data processing and integrations (automation behind the scenes)
- Connection: Zapier → Webhook → n8n → CRM + notifications
- Timeline: 3–4 weeks
n8n Practice: Full Workflow for Final Project (optional)#
If you chose n8n:
Task:
Create a full workflow for your final project meeting all SOW requirements.
Example: Lead qualification with CRM and notifications
Workflow:
[Webhook] (receive data from form or Zapier chatbot)
↓
[Set] (structure data)
↓
[Function] (validation: email, phone)
↓
[IF] (data valid?)
↓ (true) ↓ (false)
[Function] (determine temperature) [Telegram] (error notification)
↓
[IF] (temperature?)
↓ (Hot) ↓ (Warm) ↓ (Cold)
[CRM: priority] [CRM: standard] [Sheets: log]
↓ ↓ ↓
[Telegram: urgent] [Email: standard] [Email: delayed]
↓ ↓ ↓
[Google Sheets: log all]
↓
[Respond to Webhook] (confirmation)
Nodes to implement:
- Webhook — trigger
- Set — structure input data
- Function — validation (check email and phone format)
- IF #1 — check data validity
- Function — determine lead temperature (by SOW criteria)
- IF #2 — split by temperature (Hot / Warm / Cold)
- CRM nodes — create lead in CRM (for hot and warm)
- Telegram — notifications to sales
- Email — email campaigns
- Google Sheets — log all leads
- Respond to Webhook — confirmation
n8n implementation checklist:
- Workflow created
- All nodes added
- Data validation works
- Temperature split logic works
- CRM integration configured
- Telegram notifications work
- Email campaign configured
- Google Sheets logging works
- Error handling added (Retry for API requests)
- Error Workflow connected (from Module 11)
- Monitoring configured (UptimeRobot or similar)
- Testing completed (all branches checked)
Time: 3–5 hours (pure implementation time)
What you'll get:
A production-ready workflow with validation, error handling, multiple integrations, and monitoring.
Artifacts#
After completing the module you will have:
1. Working AI Agent#
- ready to sell or deploy for a real client
- tested (typical + edge cases)
- documented (user instructions)
2. Technical Specification (SOW)#
- detailed agent description (features, logic, integrations)
- reusable for other projects
3. Workflow Diagram#
- visual map of how the agent works
- can show to client, explain the logic
4. Impact Calculation#
- savings / growth / ROI in numbers
- justification for client (why the agent is valuable)
5. Commercial Proposal (CP)#
- ready to send to client
- usable as template for other projects
6. Presentation#
- 10–15 slides with problem, solution, demo, impact
- can show to clients, investors, employers
Review Questions#
Project presentation:
Instead of quiz questions in this module — project presentation. Prepare a presentation and show:
- what you built (demo)
- what problem the agent solves
- what impact it delivers (numbers)
- how the agent works (diagram)
Successful presentation criteria:
- Task solves a real business problem
- Agent works (all features implemented)
- Impact calculated and justified
- Presentation is clear and convincing
- You answered questions
What's Next#
Congratulations! You've completed the course.#
You now have:
- Knowledge: from AI basics to monetization
- Skills: creating agents, integrations, prompting, SOWs
- Portfolio: final project (can show to clients)
Next Steps#
1. Find your first clients
- use the CP from your final project
- send 10–20 personalized messages to potential clients
- register on freelancing platforms (Upwork, Fiverr)
2. Create content
- write a case study about your final project (Telegram, blog, LinkedIn)
- show the agent creation process (screenshots, diagrams)
- share insights
3. Keep learning
- go deeper into n8n (if you want more flexibility)
- explore new tools (follow 2026 updates)
- try complex integrations (AI + CRM + analytics)
4. Scale
- when you gain experience → raise prices
- when you have regular clients → add subscription
- when you're ready → start an agency or product
Community#
Join the course alumni community (if available):
- share experience
- find project partners
- get feedback
Course Updates#
The course is regularly updated:
- new tools (current for 2026 and beyond)
- new cases and examples
- advanced modules (if there's demand)