Prototyping data tools with AI: a case study Solar Battery Atlas

Ember utilizes AI to accelerate the transition from concept to web tool by automating visualization and coding, allowing for rapid iteration and user feedback. While AI improves the delivery route, the final production of 'Ember-approved' tools still requires a rigorous process involving user-informed design, data architecture validation, professional front-end development, and targeted outreach.

• AI allows Ember to move quickly from a concept to a web tool without extensive coding by defining data sources and methodologies and instructing AI to create interactive visualizations. This process enables the organization to iterate based on user feedback or 'fail fast' and move to new concepts.
• The transition from an AI-assisted prototype to a finalized, high-quality data tool requires a four-stage production process: user-informed design, data architecture and validation, high-quality production by front-end developers, and targeted audience outreach and training.
• AI does not change the essential components of a high-quality data tool, but it does improve and accelerate the route to delivery.

APA

Ember (2026). Prototyping data tools with AI: a case study Solar Battery Atlas. https://ember-energy.org/latest-updates/prototyping-data-tools-with-ai-a-case-study-solar-battery-atlas

Chicago

Ember. Prototyping data tools with AI: a case study Solar Battery Atlas. 2026. https://ember-energy.org/latest-updates/prototyping-data-tools-with-ai-a-case-study-solar-battery-atlas.

Wikipedia

{{cite report |author=Ember |title=Prototyping data tools with AI: a case study Solar Battery Atlas |date=19 June 2026 |url=https://ember-energy.org/latest-updates/prototyping-data-tools-with-ai-a-case-study-solar-battery-atlas |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{ember2026prototyping, author = {{Ember}}, title = {{Prototyping data tools with AI: a case study Solar Battery Atlas}}, institution = {Ember}, year = {2026}, month = jun, url = {https://ember-energy.org/latest-updates/prototyping-data-tools-with-ai-a-case-study-solar-battery-atlas}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }