24 November 2024
PowerFlow: Enhancing Proposal Development with AI. Interested in Finding Out More? Contact AILC
Using Accelerate’s power to assist with proposal writing, improving efficiency and supporting collaboration between experts.
Check all AI results for accuracy, fairness, and potential harm. Ultimately, it’s human oversight that safeguards responsible use.
Introduction
In our ongoing exploration of how AI tools can be used to support project development, we recently conducted an internal test case using the PowerFlow tool from the Accelerate platform. PowerFlow was integral in providing support content for the proposal, helping to streamline the overall process. This effort aimed to demonstrate the platform's capability to facilitate additional support for project participants, with a focus on design thinking, AI-driven content generation, and collaboration across different disciplines.
The complexity of this test case was significant, and it truly showcased the capabilities of the UNIC Accelerate platform, which includes the PowerFlow tool.
Summary of Key Points
- A 71-page prompt document was created and underwent 10 iterations to meet project requirements.
- The final output was a 100-page support document, achieving high accuracy and usability.
- Collaboration with lecturers was essential in ensuring content quality.
- A similar test on a Horizon proposal achieved a high accuracy proposal support document.
- Future focus: refining tools, adapting AI prompts, and enhancing collaboration.
1. Iterative Approach
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The process began with the creation of a 71-page prompt document, which underwent 10 iterations before reaching its final version. This level of detail was crucial in capturing the specific requirements of the project.
2. Collaboration with Lecturers
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Throughout the drafting process, we maintained close communication with lecturers, who provided expert feedback at each stage. Their insights helped ensure that the generated content might help them meet the quality and relevance standards needed for the proposal.
3. Comprehensive Proposal Support Document
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The support that Powerflow provided was found to be invaluable, offering both efficiency and clarity throughout the process. Users appreciated how it helped to simplify complex sections, reduce the workload, and ensure a consistent level of detail and accuracy across all parts of the proposal.
4. Areas for Improvement
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While the output metric reflects the promise of this approach, it also underscores areas for further development. With more time and refined prompts tailored to individual project specifics, the accuracy and usability of the output could be improved further. For example, the Work Packages section required more iteration to fully meet expectations.
Additional Projects and Achievements
Horizon Proposal
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This demonstration is part of a broader exploration. We also tested the PowerFlow tool within the Accelerate platform on a similar project involving a Horizon proposal, achieving comparable results of high accuracy. These experiences highlight both the opportunities and the learning curve inherent in using AI tools for academic and research-oriented proposal preparation.
Moving Forward
Continued Refinement
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The progress made so far, particularly through the use of PowerFlow, indicates the potential for ongoing refinement of both tools and processes. At the AI Learning Centre, we continue to iterate on prompts and innovate new approaches to improve AI-generated outputs.
Strengthening Collaboration
- By using AI tools to meet the specific needs of different projects and working closely with faculty members, we believe our approach can make an even greater impact on future projects.
Conclusion
Our internal exploration into supporting project proposal development, leveraging PowerFlow as a central tool highlights the value of combining human expertise with AI tools. Although challenges remain, the achievements underscore the significant potential of AI in supporting complex research projects.
If you want to see examples of our work, feel free to contact us!
Remember to always check AI outputs thoroughly, as human oversight lowers AI risk. For more information, contact AILC.
