Sandia Lab News

SandiaAI Chat: You asked, this team answered


Project leads give a sneak peek at new features that could arrive over the next year

FEEDBACK — Project manager Mike Vigil uses feedback from the workforce to inform upgrades to SandiaAI Chat. (Photo by Craig Fritz)
FEEDBACK — Project manager Mike Vigil uses feedback from the workforce to inform upgrades to SandiaAI Chat. (Photo by Craig Fritz)

More than 1,500 feedback comments have been received about SandiaAI Chat. Together, Erica Grong, Mike Vigil and their team have read every single one.

“We really rely on feedback,” Erica said.

Erica and Mike oversee the operation and upkeep of the flagship chat tool, which has garnered more than 15,200 individual users, an average of 5,600 weekly users and nearly 4 million inquiries since its introduction in May 2024.

But a big part of the job is planning future upgrades.

“Every reasonable suggestion gets reviewed by the team,” Mike said.

In collaboration with management, the pair of project managers and their team — comprising a solutions architect, three full-stack developers and one student intern — prioritize these ideas and then get to work implementing them.

Bringing on Bring Your Own Data

One of top requests, Erica said, was to be able to upload documents. This was fully released to the Labs in August as Bring Your Own Data, which appears now as a paperclip icon at the bottom of the chat window.

This new capability saves users the hassle of copying and pasting data into the chat window, but some Sandians have gotten creative with it.

Stefan Domino, a fluid dynamics expert supporting NNSA’s Advanced Simulation and Computing program, said Bring Your Own Data lets him use SandiaAI Chat as a testbed to try out ideas for a different large language model being developed jointly with Lawrence Livermore and Los Alamos national laboratories.

“I have crafted a set of prompts that we know an LLM can and cannot answer,” because it deals with specific information not included in the AI model’s training. Then he tests how well the model answers the prompts before and after he uploads the critical, missing data.

Stefan said the experience has pointed him to better ways to evaluate the tri-labs model. It also has given him insights into how large language models can be corrupted with nefarious or misleading documents.

When Mike was asked what he’d most like to add to SandiaAI Chat, he pointed right back to Bring Your Own Data.

“I’m really happy with it,” he said.

A look at the wish list

But the chat team is far from done. Funding permitting, they have planned out several major improvements that could roll out over the next year.

“Hands down,” Mike said, “the most requested feature since day one has been the ability to use our API.”

Short for application programming interface, API is the connection between SandiaAI Chat and the OpenAI large language model that powers it. Many researchers have asked to bypass the chat interface and get direct access to the model.

It’s a versatile feature, Mike said, and the SandiaAI team is working on it.

CHATTY BUNCH — The SandiaAI Chat deployment and development teams equipped the workforce with a practical and evolving AI tool. Members shown, from left to right, are Nikki Nevitt, Daniel Garcia, Ben Ybarra, Phyllis Teague, Brian Sims, Valerie Silva, Andrew Beussink, Mike Vigil and Erica Grong. (Photo by Lonnie Anderson)
CHATTY BUNCH — The SandiaAI Chat deployment and development teams equipped the workforce with a practical and evolving AI tool. Members shown, from left to right, are Nikki Nevitt, Daniel Garcia, Ben Ybarra, Phyllis Teague, Brian Sims, Valerie Silva, Andrew Beussink, Mike Vigil and Erica Grong. (Photo by Lonnie Anderson)

API access could empower researchers’ projects when a general-use chat isn’t efficient, like with coding, or when it doesn’t return the data users need, Erica said.

Another new feature the team plans to test is vision, or the ability to use SandiaAI Chat to interpret images.

“I’d be excited to give it an image of a Gantt chart,” Erica said, “and have the tool analyze and interpret the data, and provide me recommendations for improvement.”

But Mike said it could be an even more powerful tool for engineers, too, saying that some large language models can calculate the yield of an explosion based on pictures of the blast damage.

Yet another feature Sandians may see in the future is the ability to search internal Sandia documents, which is only possible in a version of the chat now in early testing stages.

The prototype adds a new icon in the chat box. Click it, and a menu pulls up of searchable, Sandia-specific knowledge bases. This lets users, for example, ask a question about Sandia’s rules on social media and get back verifiable answers that link directly to the official policy.

“Most people believe what generative AI tells them, and that’s bad,” Mike said.

He added that the menu options could potentially be tailored to individual teams, letting users query information from their specific process documents or shared data.

Erica cautioned that all these features are still only ideas being tested and subject to future funding. But in the meantime, Mike had a suggestion for the workforce.

Keep hitting that feedback button.

Enhancing my HR role with SandiaAI

By Ingrid Magoffe

As a human resources specialist, I have found SandiaAI a valuable tool in my workflow, supporting me in research, data analysis and presentation development. I have not only streamlined tasks but also elevated my work with its creative insights.

Recently, the Bring Your Own Data feature in particular played an essential role in data aggregation and thematic analysis for one of my projects. While working on the Fast Track Culture Challenge, a fiscal year 2025 milestone team project developing a process to knock down barriers to innovation across the Labs with input from the workforce, AI helped me manage and categorize vast amounts of qualitative data from design thinking sessions.

With over 400 data points from one session, it quickly identified themes and quantified feedback, easing my mental load. This enabled me to focus on interpreting the data rather than getting lost in the weeds of categorization.

However, I’ve found that AI’s outputs still require human oversight. For example, in one case, Sandia’s AI incorrectly duplicated several comments under a particular theme, which affected the accuracy of the analysis. This experience emphasized the importance of verifying AI-generated results through cross-checks and collaboration with team members.

One thing to keep in mind with this kind of data is to have the feedback somehow bulleted or separated with quotes to minimize risk of the AI tool mistaking several comments as one or to avoid other errors. I look forward to when we might be able to use a tabular data feature that will help streamline this process and help to ensure accuracy a lot more effectively.

Another area where AI has been a huge help is in drafting and refining written content. I’ll start by throwing together my thoughts in a document draft. I tend to get deep into the details and sometimes struggle to keep things concise and focused. I use AI to review my initial drafts and offer specific guidance on how to improve my writing. Whether it’s for a report, email, presentation or this article, AI helps me trim unnecessary details and polish my ideas, making me more effective at conveying my thoughts and hitting the mark with my intended audience.

Finally, in presentation development, AI supports me by structuring PowerPoint slide content based on a draft outline I provide it in a Word document. It suggests effective sequencing, recommends visuals and even proposes speaking points if I prompt it to, which significantly enhances the clarity and flow of my presentations. With this creative support, I’ve been presenting information in a more engaging and organized way.

Sandia AI has proven to be an essential tool in my role, offering valuable assistance with research, data analysis, writing refinement and presentations. When I use it thoughtfully, AI helps me stay focused on high-value tasks, reduce cognitive load and improve the quality of my work.

Want to learn more about SandiaAI Chat and other AI tools to make your work life easier? Visit the Artificial Intelligence at Sandia website for training, resources and more.

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