AIResource
Every guide, how-to, case study, prompt, tool overview, talk, and FAQ in one place. Filter it down, then share the link.
49 resources
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.
How to build a reusable AI persona that stands in for the expert you can't hire or the stakeholder you can't interview, how to use it on real work, and where the technique stops being trustworthy.
Anyone can now build a website or app by having AI write the code. Vibe coding works best when an expert uses it to share what they know with the movement, and it needs thorough testing before anyone relies on the result.
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.
Nine features do most of the work: the right app, memory, connectors, browser control, projects, skills, automations, meetings, and interactive pages. Learn them in this order and each one makes the next easier.
Claude Code has always been the most capable way to use Claude, and in the desktop app it now needs less setup than Cowork as well. Cowork still makes sense if you want to limit what Claude can reach on your computer.
The fastest way to find out whether an AI agent can do something, and how to set it up, is usually to ask the agent. Here is how to ask, which tools it works in, and when to check the answer.
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.
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.
AI drafts carry habits readers recognize. Save the edits as a reusable skill, so every draft your team writes gets the same pass without changing any of the facts.
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.
AI tools give you two separate dials: which model answers, and how hard it works before answering. A professor/student analogy shows which one actually helps for the task in front of you.
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.
Use OpenAI Codex or Claude Cowork to understand footage, find strong moments, and create a social edit. This guide shares what we tested, where Premiere may fit, and what still needs human review.
Before you commit to a campaign or project plan, ask AI to imagine it has already failed — and tell you why.
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.
A free AI research assistant that answers questions using Faunalytics' library of 6,000+ human-vetted animal advocacy research summaries, with citations to the underlying sources.
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.
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.
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.
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.
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.
All three run the same Claude models. What changes is how much of your computer each one can reach. If you use Claude regularly, we now suggest Claude Code.
Deep research searches many sources and produces a detailed, cited report. Use it for complex questions, then verify the sources and claims.
You need to understand a research paper quickly and report on it without overstating what it found.
A bill is moving and you need to mobilize supporters to contact their legislators this week.
A board meeting is approaching and you need to turn scattered program updates and metrics into a coherent report.
You want to send donors a no-ask update that keeps them connected between appeals.
You have a grant deadline, a mountain of messy program notes, and no draft.
You have messy notes or a transcript from a meeting and need clean minutes with decisions, action items, and owners.
You need a clean, newsroom-ready press release for an announcement, campaign launch, report release, or rescue/event, and you're starting from scattered notes.
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.
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 working framework for organizational AI adoption: six areas — narrative, tools, training, guardrails, workflows, and rhythm — that need attention together for experiments to build lasting capability.
Our AVA Summit talk on fluidity and agency in a changing world: six lanes every organization's AI strategy needs to cover — with the full slide deck to use with your team.
An AI tool that turns prompts, outlines, and existing documents into first-draft presentations, documents, and lightweight websites.
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.
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.
An AI agent pursues a goal across multiple steps, using tools to read files, search, update systems, and check its work.
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.
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.
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.
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.
The objections staff often raise about AI, taken seriously rather than dismissed — with what is true in each, the data behind it, and language options for the conversations leaders are already having.
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.
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.
Vegan Hacktivists offers free AI and automation support to animal protection organizations — from a first conversation to a full build.
