A photographer edits photos in a studio

The picture in her head: How this blind creator teaches AI to be her eyes

Blind creator Omolara Daniel trains AI to visualize her designs, turning words into images. Discover her journey - an inspiration for Kenyan tech pioneers.

Visually impaired Nigerian entrepreneur Omolara Daniel uses AI tools to design logos, flyers and videos for her startup, Cura Heritage Foods Ltd.

Where Kenyan businesses feel this

SMEs can adopt a similar approach by combining voice‑activated assistants, AI‑driven design tools, and transcription services. The first step is to map existing creative tasks - logo creation, social‑media posts, promotional videos - and assign each to a suitable AI application. Training the AI with brand guidelines and preferred colour palettes helps ensure outputs match the company’s voice, reducing the need for external agencies.

Daniel’s workflow shows how a lack of visual ability does not have to limit creative output. She starts with a vivid description of the image she envisions and uses AI chatbots such as Claude and Gemini to refine her ideas and develop detailed prompts. After finalising the prompt, she moves to a generative‑image tool (Veo 3) to generate individual scenes. If she has a preferred colour, she specifies it; otherwise, she asks the AI to suggest a suitable combination. She then uses tools like Google Flow and Microsoft Clipchamp for video creation and editing, relying on audio descriptions and her own narration to evaluate the results.

By iterating through prompts and reviewing audio feedback, she can produce client‑ready graphics without a sighted designer. The AI handles the heavy lifting, allowing her to focus on strategy, client communication, and business development. This hybrid model mirrors a “human‑in‑the‑loop” paradigm, where AI augments rather than replaces human expertise.

Kenyan businesses can replicate this workflow by selecting accessible AI platforms, training them with brand‑specific data, and establishing feedback mechanisms that keep quality high. Documenting the process and measuring turnaround time can help build a case for wider adoption across the organisation.

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What this means for your business

For Kenyan tech startups, Omolara Daniel’s approach shows how AI can democratise visual design, allowing teams without dedicated graphic designers to generate and iterate on logos quickly. This means you can reduce design lead times and lower costs while still producing high‑quality brand assets. By adopting similar AI workflows, Kenyan digital nomads and design agencies can focus more on creative strategy rather than manual drafting.

Want to apply this in your business?

We work with businesses in Nairobi, Mombasa, Kisumu, and across Kenya to turn developments like this into practical tools. Chat with us - no commitment required.

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