Question 1

How does your background in psychology improve the ROI of AI projects?

Accepted Answer

Most AI projects fail not because of the technology, but because of a lack of user adoption. My background in psychology and behavioral economics allows me to design AI systems with human-centric adoption baked in from day one. By understanding mental models and reducing friction, I build tools that teams actually want to use. Combined with full-stack development experience, this ensures your AI investment delivers both technical excellence and real-world results.

Question 2

How do you ensure that an AI project actually delivers measurable business value?

Accepted Answer

I define clear success metrics—such as cost reduction, time saved, or revenue impact—before writing a single line of code. By validating assumptions with small, early experiments, we avoid the trap of 'AI for AI's sake.' If a simpler automation or spreadsheet is the better solution, I’ll tell you. My focus is on solving your business problem efficiently, not on maximizing engagement hours.

Question 3

What are the advantages of working with a senior specialist versus a large agency?

Accepted Answer

Partnering with a senior specialist ensures high-trust execution and direct access to expertise without the overhead of account managers or junior developers. I build systems your team can own, prioritizing clean architecture, thorough documentation, and seamless knowledge transfer. To ensure long-term stability, I work with clients to either train their internal teams or establish clear, sustainable maintenance agreements.

Question 4

How do you choose between low-code automation (n8n) and custom development?

Accepted Answer

The choice depends on your specific goals: n8n is ideal for rapid prototyping and validating workflow ideas with minimal investment, while custom code (Python, Elixir/Phoenix) is reserved for high-performance, complex logic, or production-grade reliability. I select the right tool for your current stage, ensuring you optimize for speed today without sacrificing scalability tomorrow.

Question 5

What distinguishes your custom AI solutions from off-the-shelf AI tools?

Accepted Answer

While off-the-shelf tools are great for general tasks, custom AI infrastructure is required for deep integration with your tech stack, proprietary data usage, and enforcing complex business rules. I build operational systems that automate multi-step workflows—like syncing CRM data, inventory checks, and proposal routing—creating a competitive advantage that a standard chatbot cannot provide.

Question 6

How do you maintain quality and reliability in such a fast-moving field like AI?

Accepted Answer

I prioritize production-ready engineering over hype-driven demos. By working directly with your technical teams, I ensure every implementation is robust, maintainable, and survives the scrutiny of experienced developers. My reputation is built on delivering reproducible results that add long-term value, rather than one-off prototypes that collapse after the initial phase.

Question 7

How does your 'bridge' role between business strategy and engineering benefit my team?

Accepted Answer

I bridge the gap where most AI projects fail: the translation between business requirements and technical feasibility. My background as a German Foundation of Business scholar combined with hands-on engineering means I can architect systems that are both technically sound and economically sensible. This ensures your project is aligned with your CFO’s goals while remaining highly implementable for your engineers.

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