Working 2.0: AI Tools That Actually Help – Our Stack for the New World of Work

Less Hype, More Everyday Reality

Every week a new AI tool appears, promising to revolutionize the world of work. The reality? Most disappear from the workflow after two weeks. What remains are the tools that quietly make themselves useful – every day, without drama.

In this article, we show our real stack. No affiliate-driven best-of list, but the tools we actually use at Till Freitag.

Our AI Stack at a Glance

monday AI – The Silent Helper in Project Management

For us, monday AI isn't a gadget – it's an integral part of our workflows. Specifically, we use:

• AI-generated summaries for board updates and status reports
• Formula assistant for complex column calculations
• Content creation for task descriptions and email drafts
• monday Workflows for intelligent automations

The biggest value: AI is right where the work happens – no tool switching, no copy-paste.

ChatGPT & Claude – The Thinking Partners

For strategic work, content creation, and problem-solving, we use Large Language Models as sparring partners:

• Concept development – structuring ideas, shifting perspectives
• Content drafts – blog drafts, proposals, documentation
• Code support – debugging, automations, API integrations
• Research – quickly understanding complex topics

Important: AI delivers the first draft. The expertise, tone, and final judgment come from the human.

Make (formerly Integromat) – The Bridge Between Tools

Make connects our tool landscape into a seamless workflow. AI components like the OpenAI connector expand the possibilities:

• Automatic lead qualification with AI-powered analysis
• Content workflows – from idea to finished draft
• Data enrichment – contacts, company data, market analyses

More Tools in the Stack

Tool	Use Case	AI Component
Perplexity	Research	AI-native search
Midjourney	Visuals	Image generation
Lovable	Web development	AI-powered coding
Granola	Meeting notes	Automatic summaries

What We Deliberately DON'T Use

Just as important as our stack is what we don't use:

• AI chatbots for clients – personal contact stays human-to-human with us
• Fully automated content generation – every article is written and reviewed by humans
• AI scoring for employees – we don't measure performance with algorithms

The Principle: Augmentation, Not Automation

Our guiding principle is simple: AI should make us better, not replace us. That means:

1. AI handles the repetitive – summaries, drafts, data processing
2. Humans do the creative – strategy, relationships, decisions
3. Together, value is created – faster, better, with less friction

Conclusion: Your Stack Must Fit You

There's no universal AI stack. What works for us doesn't have to work for you. But the principle is transferable: Start with a concrete problem, seriously test a tool for two weeks, then decide.

Working 2.0 doesn't mean: all tools at once. It means: the right tools, used right.

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This is Part 1 of our Working 2.0 series. Next up: AI First = People First – Why Augmentation Is the Future