Three kinds of guide. Setup guides put Claude or ChatGPT into the channels your team already works in. Task guides walk one job all the way through - connecting it to your tools, teaching it your knowledge, running it on a schedule, rolling it out safely. Buyer's guides help you decide which AI is worth the seat. All of them are written to hold up even if you never hire Beagle.
1,000 free credits to start. No credit card. Working in five minutes.
Step-by-step guides to running Claude or ChatGPT inside Slack, Microsoft Teams and email. Every real option, what each one costs you, and where each one stops.
Every way to get Claude answering in Slack - Claude Tag, Claude Code, the connector, or a bot you build - and what each one really costs.
There is no @Claude bot for Teams yet. Here is what Claude can actually do with Teams today, and how teams bridge the gap.
Claude for Outlook, the Gmail connector, and why nothing Anthropic ships will send an email on its own.
Three OpenAI Slack products with nearly the same name, running in two directions. Which one you want, and what it needs.
OpenAI has no bot inside Teams. It does have a plugin that reads Teams - and, unusually, can post back. Here is the whole picture.
There is no OpenAI email product. There is a Gmail and Outlook connection that can genuinely send - which is exactly why to be careful.
One guide, one job, walked all the way through. Every real path named, including the ones that have nothing to do with us, and each page carries the date its facts were last checked.
Every way to get Claude reading your company's tools - the directory, a custom remote server, a desktop extension or one you write - and what each costs you in approvals, tokens and trust.
You cannot train ChatGPT on your documents, and you do not need to. Five real ways to make it answer from your company's own material, and the file limit that kills three of them.
Both Claude and ChatGPT can now run a job on a schedule without you. Setting that up takes ten minutes. The other four steps are the ones that decide whether anyone can trust the output.
What Claude and ChatGPT actually do with your data on each plan, which controls exist at which tier, and the week-one checklist that closes the gaps you can close.
The rules that get brands banned are per-subreddit and mostly unwritten. Here is what Reddit actually enforces, what the moderators control, and the one law that now sits on top of both.
Most of what is sold as generative engine optimisation is folklore, and some of it is things the vendors have said in writing they ignore. Here is what Google, OpenAI and Anthropic actually document.
Detecting a mention is cheap and largely solved. The hard, unsolved part is cutting the noise and getting the one that matters to a human before the day is out.
Each network's API draws the line in a different place, and half the platforms will not let a small team auto-publish at all. Here is what is actually permitted, and why your scheduler only reminds you for some networks.
Each one is a real buyer's guide for a real kind of team.
The honest buyer's guide: what to look for, the real categories of AI, and where each one stops.
What to look for when the work is performance data, content, and a report due for every client.
When the bottleneck is feedback rounds, resourcing, and handoffs - not a blank page.
When the asset is knowledge, the deliverable is the product, and the metric is utilisation.

The only real benchmark is a job. However you get AI into your channels, point it at this week's actual work and watch what comes back. Beagle starts free, in Slack or Teams, with nothing to build.
Comparisons only go so far. Give me your website and I will show you the actual work I would take on. No account, no card.
I only read what is public. Nothing is saved to your name until you say so.