Updated continuously. Written by the FellowHire team.
Honest guides on AI fellows, AI coworkers, AI assistants, and how to evaluate them. The taxonomy, the trade-offs, the security picture, and where each one actually fits.
The AI worker space is full of confusing terms. AI fellow, AI coworker, AI assistant, AI agent, AI employee. Every vendor uses a different word for nearly the same thing. We wrote this section to cut through it. Each guide below answers one question honestly, including the cases where another vendor or another approach fits better than FellowHire.
The foundational definition. What a fellow is, what it is not, and how the model differs from generic AI.
Read the guide →Taxonomy. The honest read on what each term means and when each one fits.
Read the guide →The wedge essay. Why specialist beats generalist as your team grows, and where generalist still wins.
Read the guide →From scoping call to live in your Slack in about a week. The full lifecycle, step by step.
Read the guide →How AI fellows work in Slack and Microsoft Teams. Platform comparison, permissions, and how to pick.
Read the guide →How AI works in Slack today. Bots vs assistants vs fellows. Privacy, channels, multi-user.
Read the guide →Same scope, Microsoft 365 audience. Tenant model, compliance, channel patterns.
Read the guide →The plain-English guide. What an AI paralegal does, what it cannot do, compliance, tools, pricing, and how to pick.
Read the guide →The questions to ask, the trade-offs to weigh, the gotchas.
Read the guide →Honest read on what to ask, what we offer, where we are going. SOC 2 posture, data scoping, audit trails.
Read the guide →How early-stage teams use AI fellows to cover roles they cannot justify hiring for yet. The real math.
Read the guide →Every guide on this page is written by the FellowHire team and reviewed by the founder. We name competitors honestly. We tell you when another tool fits better than ours. We update guides when the space changes (it changes a lot, so we update these monthly).
If you spot something wrong, out of date, or unfair, tell us. We update.
Tell us. We will answer it directly, and if it deserves a guide, we will write one.