We build AI sidekicks
your team will actually use.

SideKind is a studio that designs, builds, and runs custom AI agents for client-service teams. The name is the whole idea: a sidekick, on your team's side, kind enough to stay in the background. The human stays the hero; the agent quietly handles the work nobody should have to.

We're operators, not a lab. SideKind is run by long-time business owners, full-stack marketers, and ops directors, people who've carried a number, run an account, and closed the books. We built our first agents to kill our own boring loops. The ones that worked, we turned into a practice.

That starts at the top. James Shi founded SideKind, builds the agents, and runs them in production — 16 years in marketing and ops before that.

Every client-service team has the same quiet drag: repeatable loops that eat the hours before anyone gets to the work only they can do. Pipeline hygiene, account research, QBR prep, inbox triage, the back office. It isn't that the work is hard. It's that there's too much of it, and it never stops.

So we build an agent for the loop and run it in the tools your team already lives in, your CRM, your inbox, your Slack, your ad accounts. Not another app nobody opens. The boring loop gets handled; your people get the hours back.

We build a range of role-based agents. The lineup on this site shows the kind of agent we build: Kate on inbound and outbound, Mira on client success, Sloane on market intelligence, Drew on paid media, Quinn on the back office. The lineup is proof of range, not a menu. Every build starts from your actual problem.

What we believe

• Ship it, then run it. Slideware doesn't count. An agent is done when it's live on real data, doing its real job, and we stay on to run it with you.
• In your tools, not ours. The agent works where your team already works. No new app to adopt, no workflow to relearn.
• Say what it does on its own. Every agent we build rolls out in stages — shadow mode first, then supervised, then autonomous. Before it acts on its own, you see the scoped list of what it's allowed to do. We'd rather publish where the line sits than imply there isn't one.
• A metric, or it didn't happen. Before we build, we write the test that says it's working. If we can't define that test, we don't take the project.
• Yours to keep. Cancel any month, take it in-house any time. We build agents you own, not a dependency on us.

Where this is headed

SideKind is a studio, not a single bot, and the pattern travels: wherever a client-service team is drowning in a repeatable loop, there's an agent worth building, discreet by default and rolled out in stages. Same studio, different work.

We take on new builds in small cohorts, starting with a 30-minute diagnostic call. If your team has a loop that should already be running itself, that's the conversation.