Training course · Claude · Founders & Startups

Claude for Founders and Startups

Claude as an AI assistant for knowledge work: projects, Artifacts, long documents, analysis and precise writing for teams.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects Claude with the everyday processes of Founders & Startups. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Anthropic's Claude has become a go-to AI assistant for demanding knowledge work: it handles very long documents, reasons transparently and writes in a measured, easily steerable style. In this practical day you learn to exploit these strengths systematically. You analyse lengthy reports, contracts or policies, compare several sources and extract key findings with references to the exact passages. With Projects you store background knowledge and working instructions permanently, so Claude knows your terminology, templates and quality standards and you no longer start from scratch with every request.

We also show how to use Artifacts to produce standalone deliverables – structured documents, tables, charts or small interactive tools – and share them with your team. You analyse files with the built-in analysis capability, use research and connectors to company data, and put Claude to work as a critical reviewer of your own writing. A dedicated session covers Team and Enterprise plans, access management and data protection. By the end you have tested project set-ups and prompt patterns that you can apply straight away in your own function.

Founders have to juggle many roles with a small team and limited budget: product, sales, marketing, finance, hiring and investor relations. Generative AI acts like an extra team member. It helps with market research and competitor analysis, drafts pitch decks and investor updates, writes landing pages and sales emails, structures customer interviews and supports the financial model. With vibe coding, prototypes, clickable mock-ups and internal tools come together in hours rather than weeks, so hypotheses can be tested in the market much sooner. AI agents automate lead research, onboarding emails or support replies. The key is to combine speed with critical review and to get the legal basics right from day one.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Early-stage founders
  • Founding teams in incubators and accelerators
  • Early employees at startups
  • Corporate venturing and intrapreneurship teams
  • Solo entrepreneurs with product ideas

Typical challenges we address

  • Little time and few resources for many parallel tasks
  • Hypotheses need to be validated quickly and cheaply
  • Heavy effort for pitching, investor relations and grant applications
  • No in-house experts for legal, finance and development in the early stage

What you will be able to do

  • You write precise, structured instructions that let Claude handle complex tasks reliably.
  • You analyse long and multiple documents and obtain referenced, verifiable summaries.
  • You set up Projects with a knowledge base and style rules and share them with your team.
  • You use Artifacts and the analysis capability to produce usable documents, tables and evaluations.
  • Validate business ideas faster with AI through research, interviews and prototypes.
  • Produce pitch decks, investor updates and sales materials efficiently with AI.
  • Build simple prototypes and internal tools through vibe coding and understand their limits.

Course outline

Module 1 Understanding and directing Claude
  • Model family, strengths and limitations compared with other assistants
  • Clear instructions with context, examples and the desired output format
  • Structured input using sections and tags for complex tasks
  • Extended thinking and step-by-step approaches for demanding questions
Module 2 Analysing long documents
  • Uploading and querying large PDFs, reports and contract sets
  • Comparing multiple documents and surfacing contradictions
  • Summaries with references to specific passages
  • Deriving checklists and review grids from policies and guidelines
Module 3 Projects and knowledge base
  • Creating Projects with knowledge documents and persistent instructions
  • Storing style and terminology rules for consistent results
  • Sharing Projects with the team and developing them together
  • Making good use of connectors to drives and business applications
Module 4 Artifacts, analysis and writing
  • Creating Artifacts for documents, tables, charts and interactive tools
  • Analysing files and spreadsheets with the built-in analysis capability
  • Drafting, shortening, rewording and tailoring text to audiences
  • Using Claude as a critical reviewer of arguments and gaps
Module 5 Team use, data protection and quality
  • Team and Enterprise plans: administration, roles and sharing
  • Handling confidential and personal data in line with GDPR
  • Checking output: verifying facts, figures and quotations
  • Defining internal guidelines and reusable prompt patterns
Module 6 Practice lab: Founders & Startups
  • Market and competitor analysis
  • Analysing customer interviews
  • Pitch decks and investor updates
  • Prototypes via vibe coding
  • Sales and marketing
  • Grants and business plans
Module 7 Data protection, quality & transfer to daily work
  • Startups must comply with the GDPR, imprint requirements and unfair competition law from the outset, for example for waitlists, newsletters and outreach. For AI-based products, the EU AI Act, copyright in generated content, code licences and the confidentiality of investor and customer data must be considered.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Market and competitor analysis

AI structures market segments, target groups and competitors, derives positioning options and helps identify research sources – figures and facts are then backed up with reliable references.

Analysing customer interviews

Guides for problem interviews are created, notes are analysed for pain points, willingness to pay and quotes, and insights are condensed for the next iteration.

Pitch decks and investor updates

Storyline, slide copy and answers to typical investor questions are developed; regular updates for investors and advisers are generated from KPIs and milestones. Investors stay informed with little effort.

Prototypes via vibe coding

Landing pages, clickable prototypes and simple MVPs are built with AI coding tools to test demand and user behaviour before investing in professional development. Scaling up follows once demand is confirmed.

Sales and marketing

Ideal customer profiles, outreach sequences, website copy and social posts are written for the target audience and prepared in variants for A/B testing. Test results feed straight into the next iteration.

Grants and business plans

AI helps make sense of funding programmes, structure applications and business plans and explain financial assumptions clearly; the figures themselves are checked by an expert.

Prerequisites

Confident use of office applications and a web browser; prior AI experience is helpful but not required. Your own non-confidential documents are welcome as practice material. A startup idea or a role in a young company; no programming skills required.

Technical requirements

A laptop with an up-to-date browser or the Claude desktop app and a Claude account; we recommend Pro, Team or Enterprise access for Projects and larger files.

Data protection & compliance

Startups must comply with the GDPR, imprint requirements and unfair competition law from the outset, for example for waitlists, newsletters and outreach. For AI-based products, the EU AI Act, copyright in generated content, code licences and the confidentiality of investor and customer data must be considered.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Thu, 26 November 2026 Online Request
  • Wed, 2 December 2026 Hanover Request
  • Wed, 16 December 2026 Online Request
  • Tue, 12 January 2027 Munich Request
  • Fri, 22 January 2027 Online Request
  • Fri, 29 January 2027 Stuttgart Request

Frequently asked questions

How does Claude differ from ChatGPT in everyday work?

Both are capable general-purpose assistants. Claude particularly stands out with very long documents, careful reasoning and an easily steerable writing style, while Projects and Artifacts support structured work. Which tool fits better depends on your tasks, integrations and company policies – the course gives you criteria for an informed assessment.

What are Artifacts and why would I use them?

Artifacts are standalone deliverables that Claude creates in a separate panel next to the chat – a document, a table, a chart or a small interactive tool, for example. They can be revised in a targeted way, downloaded and shared. A conversation therefore produces ready-to-use results rather than scattered fragments of text.

Is my data used to train Claude?

On Team and Enterprise plans, business content is not used for model training as a matter of principle. For individual accounts this depends on settings you should review yourself. Regardless of the plan, GDPR and internal confidentiality rules apply. In the course we walk through the relevant settings and the questions to ask.

Can I build an MVP with AI without knowing how to code?

For landing pages, clickable prototypes and simple web apps, yes – often enough to test demand. For a scalable, secure product handling user data and payments, however, you need development expertise. The course shows where that line lies and how to hand prototypes over cleanly to developers.

Can investors tell a pitch deck was written by AI?

Generic copy stands out. What matters is that the storyline, numbers and insights come from your own work. AI helps you structure, sharpen and prepare for tough questions. In the course we practise making your story more compelling with AI without sounding interchangeable.

How much does “Claude for Founders and Startups” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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