Turn meeting notes into action items
AI note-takers can turn a meeting into a summary, decisions, and action items. Use them to capture the call, then check the details before sharing the notes as the record.
Intake, scheduling, data hygiene, and the workflows that keep orgs running.
AI note-takers can turn a meeting into a summary, decisions, and action items. Use them to capture the call, then check the details before sharing the notes as the record.
A board meeting is approaching and you need to turn scattered program updates and metrics into a coherent report.
You have messy notes or a transcript from a meeting and need clean minutes with decisions, action items, and owners.
Vegan Hacktivists worked with a small team to design and build a Google Apps Script monitor for its public resource hub. AI helped assess the problem and write the code; the finished script checks links with deterministic rules and leaves decisions to staff.
A capacity-building services program uses an n8n workflow to research each new applicant, compile a source-linked brief, and post a summary to Slack — so the team starts every review with consistent context.
A program team answering a high-volume support inbox designed a service that matches incoming questions to its FAQ and drafts replies in its voice — as Gmail drafts for staff to review. Currently at the concept stage.
A team that runs a recurring conference piloted an n8n workflow that researches speaker applications with AI and web search, then assembles a source-linked workbook and per-submission summaries for organizers to review.
A communications team running recurring events uses Make.com and an AI drafting step to turn event details into ready-to-review Gmail drafts, complete with calendar links. Nothing ever sends automatically.
What to check before you choose a CRM, project management tool, or database, now that AI does much of the work inside them. The guide walks through five questions, from whether your AI can connect to a tool to whether you need to build your own.
Keep shared information useful across AI tools with a project brief, example folder structures, and options for maintained files and AI memory.
Options for deciding who can change shared AI instructions, what connected tools may do, and how to review and hand over the work.
Most advocates should use Claude or ChatGPT for everyday work. Chinese-developed models can still make sense inside tools and automations.
A short method for choosing API models by capability, total task cost, provider terms, and performance on your organization’s real work.
Major AI vendors and meeting recorders will hand over conversation content when compelled by valid legal process, and both OpenAI and Anthropic report doing exactly that — but most reported cases so far involve a phone or laptop seized from a suspect, not chat data pulled from the vendor.
How to divide an AI budget across a team: a paid assistant seat for everyone, two tiers of general-purpose tools, a meeting recorder, specialist tools for specialist roles, and heavier plans for power users.
A section-by-section worksheet for writing an AI policy your staff will use, with starter questions for each section and a skeleton outline you can copy.
A practical walkthrough of setting up a Claude Team account for a nonprofit: verification and discounts, admin choices, connectors and shared skills, privacy settings, and recommended defaults for advocacy orgs.
A simple four-tier model for deciding what data can go into AI tools, what to check before you trust a vendor, and practical defaults a small organization can adopt this week.
OpenAI's coding agent, comparable to Claude Code in many ways. Describe a website, platform, or tool and it builds and tests it, in the ChatGPT desktop app, the terminal, or the cloud.
A human-reviewed collection of AI agent skills for animal protection work, kept on GitHub by Vegan Hacktivists. Point your agent at it, talk through what fits your job, and install what you need.
OpenAI's general AI assistant for drafting, summarizing, analyzing files, and multi-step research. The most widely recognized tool of its kind, and often the one your staff have already tried.
Google's general AI assistant, built into Gmail, Docs, and Drive. Eligible nonprofits get the premium features at no cost through Google Workspace for Nonprofits, though it now trails ChatGPT and Claude on capability.
A general AI assistant from Anthropic for drafting, summarizing, analyzing files, and thinking through problems. For most staff, this is the right first tool to learn.
Use n8n for flexible AI-heavy multi-step workflows, Make for fast visual connections across familiar SaaS tools, Apps Script for lightweight Google Workspace tasks, and custom code when logic outgrows no-code.
Four organizations serving the animal advocacy movement publish full AI policies covering values, tools, and day-to-day rules. One is notably more permissive than the rest. Compare their choices, then adapt the parts that fit your organization.
Nonprofit plans can reduce the bill sharply. Standard paid seats usually cost tens of dollars per person each month; automation platforms can be inexpensive at small scale; APIs charge separately by usage.
It depends on the vendor, plan, and settings — business and API tiers usually do not train on your data by default, consumer plans vary, and policies change, so check and document your settings.
Vegan Hacktivists offers free AI and automation support to animal protection organizations — from a first conversation to a full build.
