Magnify the best of people and their ideas.
We help Builders, Thinkers, and Problem-Solvers turn AI curiosity into meaningful results.
AI Guidance
What We Explore Together
- Find Your Starting Point: Clarify goals, map an AI approach, and create a plan of action.
- Build Your AI Toolkit: Identify tools that fit how you work and learn to use them confidently.
- Use Automation to Reclaim Your Time: Build AI-powered processes that save hours of manual work.
- Make Sense of Your Data: Turn information into clear insights and better decisions.
- Create Custom Solutions: Develop AI agents, prototypes, and tools tailored to your unique needs. Learn More
Frequently asked questions
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What is AI and how does it work for business?
Think of today's AI as having a really smart intern who never gets tired, can write in your voice, and can process information faster than any human. The game-changer isn't the technology itself - it's figuring out which of your current manual tasks would benefit from that kind of help.
Where should we start using AI in our business?
Look for three things: tasks you do repeatedly, information you have to synthesize from multiple sources, and anything that requires writing in a consistent voice or format. Skip the flashy stuff and focus on work that's eating up hours of your week. These are usually the sweet spots where AI delivers immediate, noticeable results.
What do we actually need to get started?
Less than you think. Most AI tools work with whatever data you already have - emails, documents, spreadsheets. You don't need perfect datasets or massive infrastructure. You need a browser, a willingness to experiment, and about 30 minutes to try something small.
How do we choose the right AI tools?
Start with one good general-purpose tool like Claude or ChatGPT and actually use it daily for two weeks before exploring specialized tools. Most people tool-hop without mastering the basics, which is like buying a race car when you haven't learned to drive stick shift.
What are the real risks we should worry about?
The biggest risk isn't AI taking over - it's implementing something you don't understand or can't maintain. Start small, keep humans in the loop, and never automate something you haven't done manually first. Security matters, but over-thinking it often becomes an excuse to never start.
How do we measure success and get stakeholder buy-in?
Pick something measurable and boring. Instead of "AI will transform our business," try "this will save Sarah 3 hours per week on report generation." Stakeholders love concrete time savings and cost reductions. Start there, prove it works, then expand.