The Good Studio is an ethical AI implementation consultancy. We help businesses implement AI responsibly using tools like n8n, Supabase, and the Claude API. We've worked with B Corps, nonprofits, and mission-driven businesses across industries - but we work with anyone who wants to do AI right.

We choose the right-sized model for each task instead of defaulting to the biggest one. We keep humans in the loop where judgment matters. We avoid automating things that shouldn't be automated. We consider environmental impact of AI choices. And we build transparent systems your team can understand and audit - no black boxes.

Projects typically range from $2,000 for focused AI workflows to $15,000+ for complex multi-system implementations. Most clients see ROI within 2 to 3 months through time savings alone - but we also measure success by whether AI made your business genuinely better, not just faster.

We specialize in n8n for workflow automation, Supabase for databases, and the Claude API for AI. We chose these tools deliberately - they're transparent, controllable, and don't lock you in. We connect them with tools you already use: HubSpot, Notion, Google Workspace, Slack, QuickBooks, and more.

Most projects launch within 2 to 4 weeks. Simple AI workflows can go live in days. Complex integrations involving multiple systems may take 6 to 8 weeks. We move fast, but never at the expense of doing it right.

B Corps are businesses certified by B Lab that meet high standards of social and environmental performance. We're building toward B Corp certification ourselves. We're a 1% for the Planet member today, building toward donating 5% of revenue across five areas of AI harm. Check the B Corp Scorecard to learn more.

No. Our core clients are mission-driven businesses, but we work with anyone who genuinely wants to implement AI thoughtfully. The qualifying question isn't your org type - it's your values: do you want to do this right, or just do it fast?

We donate 1% of revenue to each of five cause areas: worker transition and reskilling (AI job displacement), algorithmic justice and digital rights (biased AI), environmental causes (AI's energy footprint) through 1% for the Planet, small business digital equity, and human agency and education (critical thinking, media literacy).