Deduxer | Gecco

Executive summary

Before working with gecco, Deduxer had explored AI tools for coding, copywriting, and design but struggled with inconsistency and wasted time. gecco designed and delivered a five day programme blending training with consultancy. Sessions covered AI fundamentals, prompting techniques, and tailored solutions. By the end, Deduxer knew how to use tools such as Prompt Improver, Deep Research, Canvas, and connectors, and had embedded gecco’s GRAFT methodology into their workflows. The result was immediate: faster client communication, structured research, repeatable processes, and more time for creative design and development.

About Deduxer

Deduxer is a Webflow first digital agency known for its bold design, intelligent no code solutions, and seamless collaboration. Their portfolio spans SaaS, venture capital, and digital ventures.

The challenge

Deduxer had experimented with AI but found the outputs too random to trust. Communication tasks with clients consumed hours each week and research for design projects often drifted into distraction rather than producing usable insights. Without a structured approach or clear prompting framework, AI remained unreliable and inconsistent.

Solution and implementation

To address this, gecco delivered a five day consultancy and training programme. The first sessions introduced AI as a system, showing how to use custom instructions, memory, and connectors to shape responses. The GRAFT methodology provided a repeatable framework for prompts. Deduxer explored Prompt Improver to refine requests, Deep Research to generate structured reports, and Canvas to polish and edit outputs efficiently. Consultancy was tailored to the agency’s specific needs. Client communication was streamlined using connectors and agent mode, while templates and prompting techniques improved research and creative workflows. Practical examples demonstrated how assistants and projects could be built to meet Deduxer’s goals.

Outcomes

Deduxer moved from fragmented use of AI to consistent, repeatable workflows. Client communication became faster and clearer with AI drafting responses. Research results were more structured and aligned with real data. Templates supported repeatable formats, reducing random results. Most importantly, the team began to view AI as a co creative partner integrated into their daily work.

Key figures

Time saved on client communication: 10 hours per week
Research accuracy: 80 per cent alignment with real data
Workflows created: 5 repeatable structures established during the training

Why it worked

The programme succeeded because it combined structured methodology with practical consultancy. gecco not only trained Deduxer on the tools but helped them apply them directly to live scenarios. This ensured new knowledge translated into immediate, measurable improvements.

Now it’s your turn

If inconsistent AI results or scattered workflows are slowing your growth, gecco can help design structured, repeatable AI systems tailored to your needs.
‍