What building 901STEM is teaching me about technology, capacity, and the work people still need to do.
Starting a nonprofit means moving between two very different kinds of work.
There is the work that makes the mission tangible: talking with educators, listening to families, and creating opportunities for students to build, experiment, and discover what they can do.
Then there is the work that makes those experiences possible. An idea needs structure. A plan needs to become something people can understand and act on. Once the organization launches, that work keeps coming.
Building 901STEM has given me a practical setting in which to explore how AI can help with both launching an organization and keeping it moving.
Our purpose is to expand access to meaningful, hands-on STEM learning in the Memphis area. Technology can help us do the work surrounding that purpose. The purpose itself comes from people and the community we hope to serve.
It started with the idea
AI was involved before there was an organization to run. I used it to help focus the initial concept and work through a basic question: where did the needs in Memphis intersect with my skills, experience, and connections?
That question mattered more than producing a polished plan. I wanted to understand where I could make a useful contribution and what I could realistically help build.
AI gave me a way to examine the idea and organize my thinking. I brought my experience and relationships to that process. Together, those inputs helped me move from a broad interest to a more focused direction for 901STEM.
Turning the idea into an organization
The work quickly became practical. I used AI to help build a board, create documentation, and work through the preparation and filing of official paperwork. It also supported branding and communications: the work of explaining what we were building and why it mattered.
These were connected parts of getting an organization started. Decisions about the concept shaped how I described it. Building a board meant bringing people into the work. Documentation helped turn intentions into something more concrete.
AI helped me work through those tasks. The conversations, commitments, and responsibility for the organization remained with people. Help with paperwork did not remove the need to check requirements or take responsibility for what was filed.
Keeping the work moving
That support continued into operations. I used AI to help schedule tasks and build a compliance calendar, bringing recurring responsibilities into the same picture as the next steps for the organization.
This is an easily overlooked part of running something new. Launching creates momentum; maintaining an organization requires attention to work that comes around again, often alongside new priorities.
A calendar provides structure. People still have to verify the dates and requirements, complete the tasks, and follow through. AI helped me organize that work without taking ownership of those responsibilities.
Looking across the process—from the first concept to the ongoing calendar—I see its value as additional capacity. It helped me move work forward across many parts of building 901STEM while keeping the decisions connected to the mission.
The community has to shape the work
We began working with students and educators while 901STEM was still taking shape. Those early experiences gave us something that planning alone could not: a chance to see how an idea worked with the people it was intended to serve.
A workshop plan can look convincing on a screen. In a room with students, you find out whether the instructions make sense, whether an activity invites participation, and when someone needs encouragement or a different way into the problem.
You also hear questions you would never have thought to ask.
AI can help prepare for that work and think through what to do next. The learning comes from showing up, paying attention, and being willing to change the plan.
That same principle applies to relationships with educators, volunteers, and community partners. People need to know that we listen and follow through. Trust develops through those experiences over time.
Speed needs a useful destination
Generating more material is easy to mistake for making more progress. A small organization can end up with more plans than it has the capacity to carry out.
The question I want to keep asking is whether the technology helps us take a useful next step. Does it make something clearer? Does it help us prepare more thoughtfully? Does it leave us with more attention for the people involved?
Those are more meaningful tests than the volume of content we can produce.
I am still learning where AI helps most and where a conversation, an observation, or a slower decision is the better choice. Building 901STEM makes those questions concrete.
The result I care about is a stronger organization that creates worthwhile learning experiences. AI can help us build the capacity to do that. We still have to earn the relationships, make the decisions, and do the work together.
Learn more about 901STEM.
