AI for small biz: Meta hosts Community Accelerator workshop for Chamber members
More than 80 members joined us in the Spring District last week for a fast‑paced, hands-on, and practical conversation on how to move from experimenting with AI to putting it to work across real business processes. S/O to the team at Meta for putting this workshop together for us!
What we heard? AI is already on the job.
Attendees came ready with use cases and lessons learned, as consultant Maksym Kovalenko shared,
"I'm using AI mostly for my clients to solve their solutions. I'm a consultant on operational excellence, and my work is to make processes more effective, and I usually propose some of the automatization searching prompts so I can help my clients to get more information, faster, and in a standard way."
That focus on operational excellence, standardization and speed came up again and again as attendees compared notes on client delivery and internal workflows, with the Meta team suggesting ways that other organizations can implement the tech in their day-to-day work.
Context + Task = The core of strong prompts
Another central theme of the workshop was that, obviously, better inputs drive better output.
"Provide as much relevant context as possible, so that can include all sorts of information, including your target audience and your tone of voice," said workshop facilitator, Amanda Robinson. "And repeat those two things, because they are so important: Your target audience and your tone of voice."
The room also discussed master prompt documents to standardize instructions across teams and clients, and why longer, well‑structured prompts help avoid rabbit holes and hallucinations by clearly stating the background and the exact output needed.
Practical prompting tactics and tools
Attendees also swapped simple habits that improve quality and save time. Amanda offered one that resonated across the room:
"Sometimes in my prompts, I will say, 'All right, I want you to ask me questions, but can you please ask me just one question at a time, wait for my response, and then ask me the next question?'"
Members also noted that multiple‑choice prompts can reduce friction and keep the model focused. On the tools front, Meta AI came up as a quick win for on‑the‑go ideation and memory.
