AI for Business

in Online with Daniel Zaremba #tutoring, #coaching

AI for Business


Vibe Coding + Context Engineering + N8N.io Flows + Supabase + Vercel

Hours: Online

Data: November 18, 2025

Duration: 2.5 months

Trainer: Daniel Zaremba

Certificate: Qualify

from

100 € / month via StarBT

What you'll learn


  • Where AI is worthwhile in your business
    We identify impactful issues, estimate cost/benefit and assess potential risks.

  • How to build your own functional product
    Choose 1 potential product (e.g. customer support, procurement, offers, sales, documentation, marketing, internal automation, programming) and in 6 weeks you have a usable version.
  • How to connect your data and processes hassle-free
    We link together the tools you already use (CRM, online shop, email/helpdesk) with your product and try to automate as many of your internal processes as possible.
  • We trigger automatic messages (email/SMS/SMS/WhatsApp/voice) triggered by real business events - e.g.: request for quotation, abandoned cart, appointment not confirmed, no response to quote.

The course

This intensive program is aimed at entrepreneurs and employees of companies who want to optimize and improve one or more departments (technical, operational, marketing, sales, support) within the company. If you are a founder, manager or in charge of a department where you want to integrate AI, you will work on your own project and get highly practical results.

Build the first version of a project of your choice. For example:

  • Customer/employee support chatbot - direct ticket resolution 20-40%, 24/7 response, consistency.
  • Purchasing agent (request for proposal, collect & compare bids) Savings 15-20% bidding time.
  • Automated scheduling (text & voice) - 24/7 scheduling, no-show discount, calendar and SMS/WhatsApp integration.
  • Generator of offers/proposals & contracts - Drafting - 70% time, standard templates, fewer errors.
  • Sales assistant (lead qualification, emails, CRM) - More appointments set, automatic follow-up, clean CRM.
  • Document analysis (invoices, purchase orders, PDFs) + data extraction - Eliminates manual entry, automatic reconciliation, accuracy.
  • Marketing assistant (calendar postings, ad copy, landing brief) - Reduced time-to-campaign, consistent messaging across channels.
  • Internal automations (reports, reconciliation, reminders) - Operational time savings, reduced errors, better visibility. Testing with real data.

In the end you will be able to: quickly validate an AI product idea without writing code.

Course pace: 2 sessions of 2 hours per week that follow 4 simple steps - LearnBuild (guided workshop) → Ship (put live what you've worked on) → Measure (clear metrics). You get direct feedback.

Group dynamics: small cohort for applied work, 1:1 checkpoints, office hours and dedicated channel support. Each learner progresses on their own project with support from mentors and peers.

Conditions for participation

  • Have average knowledge of English (reading, writing, communication)
  • You need a laptop with at least 8 gb ram, i5 processor and 15 gb free on HDD.
  • Set aside an hour a day so you can do the exercises given by the trainer and deepen the things you've learned in the course.
  • Have an active Loveable AI* license during the course (PRO Subscription: $25/month - we may require a larger license)
  • Have during the course an active T3 Chat license* ($8/month).

*Licenses can be installed together during the course.

Course Objectives

1. Business decisions with AI

Business Pack: identify impactful problems, quickly calculate ROI, understand AI costs and risks, choose the right direction for your product.
Goal: clear and realistic direction for AI integration with measurable impact on your business.


2. Data & Process Integration

Data Pack: data auditing, source identification (CRM, ERP, e-commerce, support), stream mapping where AI can help, collection plan and ethical cleansing.
Goal: complete data visibility and an AI integration roadmap customized for your business.


3. Context Engineering & Prototyping

Prototype Pack: defining the right context for AI, functional prompts, orchestration between tools; choosing a use case (e.g. customer support, procurement, documents, sales).
Goal: a first working AI prototype, tested with real data and validated for piloting.


4. N8N.io Flows (Nurture & Nudges)

Automation Pack: set up automated text/voicemail, email and WhatsApp message flows; A/B testing for personalized communication; measure retention and conversions.
Goal: automated communication processes that increase retention and reduce manual tasks.


5. Quality & Go-to-Market

Launch Pack: quality checks (security, GDPR, accuracy), performance metrics, landing, video demo and 90-day roadmap.
Goal: secure, measurable and scalable launch with MVP ready to pilot.

Course curricula

AI BUSINESS BUILDER

  • The AI landscape in SMEs: use cases with fast ROI
  • Models, limits, costs and risks (hallucinations, privacy, IP)
  • Choosing the direction: Problem Framing Canvas for your product
  • At the end you will be able to: assess the AI opportunities in your business and identify where it has the greatest potential impact.
  • Data auditing: what you have, what's missing, how to collect ethically
  • Connection to current tools (CRM, ERP, e-commerce, helpdesk)
  • Workflow design: where AI brings value (automation + people)
  • At the end you will be able to: build an AI integration roadmap and set clear priorities for investment.
  • Prompt patterns for marketing, support, operations
  • Advanced structures: chain-of-thought, function calling, tools
  • Guardrails: validations, constraints, anti-hallucinations
  • At the end you will be able to: guide the team to get consistent and reliable results from AI.
We build the first AI product version (choose 1 project): - Customer/employee support chatbot - 24/7 response, repetitive ticket reduction. - Procurement agent - collects and compares bids, writes requests (RFQ/RFP). - Bid and contract generator - automates repetitive documents. - Sales Assistant - qualifies leads, sends emails, updates CRM. - Analyze documents (invoices, orders, PDFs) - automated extraction and reconciliation. - Automated appointments (text & voice) - 24/7 confirmations, no-show discount. - Marketing assistant - plan postings, write ad copy, prepare briefs. - Internal automations - reports, reminders, operational visibility. 🧩 Real data testing. 🎯 Result: a working AI prototype validated without writing code.
  • Simple architectures: frontend + API + AI service
  • Persistence: databases/BAAS (e.g. Supabase) - authentication - storage
  • Metrics: logging, cost tracking, quality checks
  • At the end you will be able to: build a fully functional AI application and understand what technical maintenance involves.
  • Response calibration, offline/online ratings
  • Data policies, privacy, compliance (GDPR)
  • Security playbook: what we log, what we anonymize, what we don't collect
  • At the end you will be able to: manage risks and build a product with AI.
  • E-trigger mapping (product/process events) & segmentation
  • Channels: e-mail, SMS/WhatsApp, in-app, voice/IVR; frequency & rate-limiting
  • Consent, preferences and legal basis (GDPR); audit & logging
  • At the end you'll be able to: create automated personalized communication flows that increase retention and engagement.
  • A/B framework for messages, moments and offers
  • Integration with CRM/marketing automation; measurement (activation, retention, LTV)
  • Rulebook: tone of voice, fail-safes, out-of-flow
  • At the end you will be able to: measure the impact of AI campaigns and optimize customer communication in real time.
  • Positioning and job-to-be-done
  • Website integration/landing - demo - onboarding pilot customers
  • KPIs and experiments: activation, retention, NPS, costs
  • At the end you will be able to: connect the AI product with the sales funnel and prepare the pilot launch.
  • Pilot with 5-10 real users/customers
  • 90-day backlog: features, risks, resources
  • Final presentation + feedback from mentors & colleagues
  • At the end you will be able to: conduct a controlled launch and plan the scaling of the AI product.

Course Package

Choose one of the two packages available for the AI BUSINESS BUILDER course

AI BUSINESS BUILDER PACKAGE - APPLIED

✔️ 10 weeks live x 2 sessions

✔️ 1:1 support and project feedback

✔️ Access to templates and feeds

✔️ Final MVP, tested on your data

Payment: 12 StarBT installments

138€

Payment: 30% deposit + 2 equal installments

447€

Full payment

16501490€

Sign up now >

AI BUSINESS BUILDER PACKAGE - PRO

✔️ Everything included in the Applied package

➕ 3 additional 1:1 sessions

➕ Technical review for MVP

➕ Dedicated support 2 weeks post-launch

Payment: 12 StarBT installments

138€

Payment: 30% deposit + 2 equal installments

526€

Full payment

19501755€

Sign up now >

AI for Business


Vibe Coding + Context Engineering + N8N.io Flows + Supabase + Vercel

Location: online

Data: November 18, 2025

Session duration: 2:30 hours

Course duration: 2.5 months

Trainer: Daniel Zaremba

from

100 € / month via StarBT

Trainer presentation

I'm Daniel Zaremba, a full-stack engineer, ethical artificial intelligence consultant and founder of We Are Monad, a mission-led digital agency based in London. With over a decade of experience building modern, scalable software, I support visionary founders and early-stage startups to turn their ideas into reality through thoughtful, results-driven technology. My approach is based on clarity, collaboration, and a deep respect for meaningful work.

Over the years I've led projects for global brands such as Carlsberg Group, Marc Jacobs and Rimmel London, and most recently I was frontend lead at Hubpay, modeling fintech experiences for emerging markets. I care deeply about responsible innovation, mentoring future developers, and building technology that is both impactful and aligned to purpose.

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