

AWS — Software Builders Day
Status:
Completed
Year:
2024
Industry:
AI
Format:
Keynote
Client:
AWS
Location:
Sydney, Australia





In 2024, for Amazon’s Software Builders Day, Jessie Hughes delivered a live keynote demonstration presenting Expanding Your Brand with AI to an audience of developers, product leaders, and technologists. Rather than focusing on theory, Jessie took the room inside a real creative workflow — showing how generative AI is actively used to build, scale, and evolve brands in production environments.
In 2024, for Amazon’s Software Builders Day, Jessie Hughes delivered a live keynote demonstration presenting Expanding Your Brand with AI to an audience of developers, product leaders, and technologists. Rather than focusing on theory, Jessie took the room inside a real creative workflow — showing how generative AI is actively used to build, scale, and evolve brands in production environments.
The session centred on live creative processes, walking through practical decision-making across ideation, iteration, and execution. Jessie demonstrated how teams can translate brand intent into AI-assisted systems, revealing the tools, prompts, and workflows used to move from concept to output in real time. This hands-on approach gave attendees a clear understanding of how generative AI fits into existing product and creative pipelines, rather than sitting alongside them as an abstract experiment.
The session centred on live creative processes, walking through practical decision-making across ideation, iteration, and execution. Jessie demonstrated how teams can translate brand intent into AI-assisted systems, revealing the tools, prompts, and workflows used to move from concept to output in real time. This hands-on approach gave attendees a clear understanding of how generative AI fits into existing product and creative pipelines, rather than sitting alongside them as an abstract experiment.
Following the keynote, Jessie joined a Q&A panel alongside customers and partners innovating with generative AI — including Ryan Kohler (Trusst.ai), Jayson Satya (Arcanum.ai), and Olivier Klein (AWS), moderated by Simon Johnston. By grounding her teachings in real use cases and repeatable workflows, Jessie offered builders tangible insights they could immediately apply — from creative strategy through to implementation.
Following the keynote, Jessie joined a Q&A panel alongside customers and partners innovating with generative AI — including Ryan Kohler (Trusst.ai), Jayson Satya (Arcanum.ai), and Olivier Klein (AWS), moderated by Simon Johnston. By grounding her teachings in real use cases and repeatable workflows, Jessie offered builders tangible insights they could immediately apply — from creative strategy through to implementation.




In 2024, for Amazon’s Software Builders Day, Jessie Hughes delivered a live keynote demonstration presenting Expanding Your Brand with AI to an audience of developers, product leaders, and technologists. Rather than focusing on theory, Jessie took the room inside a real creative workflow — showing how generative AI is actively used to build, scale, and evolve brands in production environments.
The session centred on live creative processes, walking through practical decision-making across ideation, iteration, and execution. Jessie demonstrated how teams can translate brand intent into AI-assisted systems, revealing the tools, prompts, and workflows used to move from concept to output in real time. This hands-on approach gave attendees a clear understanding of how generative AI fits into existing product and creative pipelines, rather than sitting alongside them as an abstract experiment.
Following the keynote, Jessie joined a Q&A panel alongside customers and partners innovating with generative AI — including Ryan Kohler (Trusst.ai), Jayson Satya (Arcanum.ai), and Olivier Klein (AWS), moderated by Simon Johnston. By grounding her teachings in real use cases and repeatable workflows, Jessie offered builders tangible insights they could immediately apply — from creative strategy through to implementation.
(Other works)
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