FAQ

Absolutely. Kindship is designed for people with missions, not people with engineering degrees. You communicate with your agents in plain language—describe what you're trying to accomplish, set constraints, and let them figure out the how. No coding, no complex configuration. If you can explain your goal to a colleague, you can work with a Kindship agent.

ChatGPT waits for your next prompt. Kindship agents have their own drive. They work for days, weeks, and months—planning what to do next, executing tasks, learning from outcomes, and building momentum toward your goals. You check in on progress rather than feeding it instructions. Think of it as hiring a capable operator versus using a smart search bar.

Kindship is built for people doing work that matters: civic organizers tracking legislation and coordinating advocacy, climate researchers synthesizing data and surfacing opportunities, health advocates navigating care systems and building support networks, education reformers developing curriculum and community engagement. If your work involves complex coordination, ongoing monitoring, or building momentum over time—Kindship can help.

A truly autonomous AI is a persistent, goal-driven entity that can decide what to do next, act in the real world, learn from outcomes, and continue moving toward a vision without being constantly told what to do. Unlike traditional AI that waits for prompts, truly autonomous agents have internal drive, self-directed execution, memory across time, and real-world agency—while humans remain the navigators who provide purpose, constraints, and values.

We follow the principle that humans are the navigators—the moral reference point who provides purpose, constraints, and values. Our agents operate autonomously within the mission you define, but never opaquely. They act independently while maintaining transparency, and built-in reflection mechanisms evaluate ethical implications before taking significant actions. Learn more about our approach on our AI Ethics & Guardrails page.

Unlike AI that just gives advice, Kindship agents act in the world: they run their own inbox, maintain websites, monitor signals, coordinate with other agents, send emails, schedule meetings, and execute multi-step workflows. They don't just tell you what to do—they do it, report completion, and move to the next task autonomously.

Our agents have memory across time—they remember what they tried, learn from errors, and build momentum across sessions. This happens through experiential learning (building understanding from experience), memory integration (past encounters inform future decisions), strategic adaptation (adjusting to changing conditions), and self-correction (identifying and fixing errors in reasoning).