How to use Slack AI Explain Messages: Its best alternative in 2025

Stevia Putri
Written by

Stevia Putri

Stanley Nicholas
Reviewed by

Stanley Nicholas

Last edited October 16, 2025

Expert Verified

Jumping into a new project channel in Slack can feel like showing up to a party where everyone has a dozen inside jokes you’re not in on. You’re hit with a wall of acronyms, project codenames, and shorthand that leaves you scrolling for hours just to find some context. We’ve all been there, sending that sheepish DM: “Hey, sorry to ask, but what exactly is ‘Project Nightingale’?”

Slack’s new AI features are meant to fix this exact problem, and its "Explain Messages" tool is a pretty clever first step.

This guide will walk you through what the Slack AI Explain Messages feature is, how it works, and where it really helps. But we’ll also talk about its biggest blind spot: it only knows what’s been said in Slack. We’ll explore how you can go a step further by connecting tools that create a single, unified source of truth, giving your team the complete answers they need, every single time.

What is Slack AI?

Slack AI is a set of generative AI tools built right into the Slack platform you and your team already live in. Instead of making you jump over to another app, it brings AI-powered help directly into your conversations. The main idea is to make your workday a little easier by helping you find information, get summaries of long-winded conversations, and handle a few simple tasks.

At its core, Slack AI learns from the massive amount of conversation data already floating around in your company’s workspace. It uses this history to power features like channel recaps, thread summaries, and a search function that actually understands what you mean when you type a real question.

What is the Slack AI Explain Messages feature?

The Slack AI Explain Messages feature is one of the most practical tools in the new lineup. Think of it as a personalized, on-demand dictionary for your company. When you stumble across a term you don’t recognize, whether it’s an internal acronym, a project name, or some team-specific jargon, you can just hover over the message to get an instant, AI-generated explanation.

It works by scanning your entire workspace’s conversation history to piece together the unique vocabulary your teams use. The goal is to give you context without you having to interrupt your workflow or ping a coworker and wait for a reply. For new hires trying to get their bearings or for teams working on projects that span different departments, it’s a genuinely useful tool for making sure everyone is on the page.

How Slack AI Explain Messages works and its key benefits

While the idea is simple, having an instant in-house dictionary can actually make a big difference for team productivity and collaboration. It’s one of those subtle features that removes the small bits of friction that really add up over a day.

Get new team members up to speed faster

Picture a new employee joining a project that’s been going for months. The main channel is a firehose of information, packed with acronyms like "Q3-PQR" and casual references to "the Alpha build." Instead of feeling lost or having to constantly interrupt the team with basic questions, they can use the Explain Messages feature to quietly catch up.

This lets them learn the ropes on their own time, understand the history of a project, and start contributing to conversations much faster. It takes some of the pressure off existing team members and makes the whole onboarding process feel a lot smoother.

Make cross-functional collaboration less painful

Let’s face it, different departments often speak different languages. The engineering team talks about "sprints" and "pipelines," while marketing is focused on "MQLs" and "CTAs." When these teams have to work together on a project, miscommunication is pretty much guaranteed.

The Explain Messages feature acts as a sort of universal translator. A sales team member can instantly figure out what a "pull request" is without derailing a technical discussion. This helps break down communication barriers and makes sure that everyone, no matter their department, has the context they need to work together well. It keeps projects moving because everyone is speaking the same language, even if they’re using different words.

The limitations of Slack's native AI

The "Explain" feature is a solid attempt, but it has one major flaw: its knowledge is trapped inside Slack. While it’s great at understanding things that have been discussed in public channels, it’s completely blind to the universe of information that lives everywhere else.

The "Slack-only" knowledge gap

Most of your company’s real, documented knowledge isn’t in a random Slack thread. It’s stored in carefully organized knowledge bases like Confluence, team wikis in Notion, project plans in Google Docs, and detailed customer solutions in your help desk like Zendesk.

Slack’s native AI can’t see any of that. This means if a term or process is clearly defined in a Confluence doc but hasn’t been talked about much in a public Slack channel, the "Explain" feature will just draw a blank. This creates dead ends for people who are looking for the official answer, not just a summary of past chats. You end up with an incomplete explanation, forcing you to go hunt for the real information somewhere else, which kind of defeats the whole purpose.

An infographic showing how eesel AI connects to multiple knowledge sources, overcoming the limitations of Slack AI Explain Messages.::
An infographic showing how eesel AI connects to multiple knowledge sources, overcoming the limitations of Slack AI Explain Messages.

A dictionary, not a doer

The other main issue is that the "Explain" feature is passive. It can tell you what something is, but it can’t help you do anything with that information. It's a dictionary, not an assistant.

It can’t answer a follow-up question, draft a detailed response based on an official document, or route a request to the right team. For example, it might tell you that "RMA" means "Return Merchandise Authorization," but it can't tell you how to actually start that process or check on a customer's request. For teams that want to move from just understanding information to actually acting on it, a more powerful and connected tool is needed.

How to build a real knowledge engine in Slack

The solution isn’t to ditch Slack, but to give it a major upgrade. By using a third-party integration, you can turn Slack from just a chat app into the central hub for all of your company's knowledge.

Unify your company knowledge sources

This is where a platform like eesel AI comes into the picture. It’s designed to break down the exact knowledge silos that hold back Slack’s native AI. eesel AI securely connects to over 100 of your company's apps and knowledge sources, from Confluence and Google Docs to past support tickets in your help desk and internal wikis.

With the AI Internal Chat product, employees can ask questions right in Slack and get complete answers pulled from every connected source, not just your chat history. Instead of a partial explanation, they get the full, accurate, and context-rich information they need to do their job. It turns Slack into the front door for all your company's knowledge.

A screenshot of the eesel AI chatbot providing comprehensive answers directly within Slack, a step beyond the basic Slack AI Explain Messages feature.::
A screenshot of the eesel AI chatbot providing comprehensive answers directly within Slack, a step beyond the basic Slack AI Explain Messages feature.

Go beyond explanations and start automating

Unlike Slack’s passive "Explain" feature, eesel AI’s unified knowledge base powers an AI Agent that can actually take action. It’s not just a dictionary; it’s a doer.

For instance, it can automatically answer common employee questions in channels like "#it-support" or "#hr-questions" by pulling answers straight from your official documentation. It can draft detailed replies for your support agents, route incoming requests to the right person, or even look up order information from Shopify.

Best of all, eesel AI is built to be different. It offers a radically self-serve setup, so you can get it running in minutes without having to sit through a sales demo. You can use its powerful simulation mode to test the AI on thousands of your past conversations, risk-free, before you turn it on. And with granular controls, you can start small by automating just a few types of questions and then expand as you get more comfortable.

A workflow diagram illustrating how eesel AI automates support tasks, moving beyond simple definitions like those from Slack AI Explain Messages.::
A workflow diagram illustrating how eesel AI automates support tasks, moving beyond simple definitions like those from Slack AI Explain Messages.
FeatureSlack Native AIeesel AI
Knowledge SourcesOnly knows what's said in Slack100+ sources (Confluence, GDocs, Zendesk, etc.)
Primary FunctionExplains jargon and sums up chatsAnswers questions, drafts replies, and automates tasks
Setup & OnboardingBuilt-in, nothing to set upSelf-serve, live in minutes without a sales call
CustomizationLittle to no customizationFully customizable persona, prompts, and actions
Testing & RolloutNo simulation or gradual rolloutPowerful simulation mode and fine-tuned automation rules
AutomationNone, just provides informationCan route tickets, make API calls, and update records

Understanding Slack AI pricing

Slack includes its AI features in all paid plans, but the really useful capabilities are reserved for the more expensive tiers. This can be a hurdle, especially for smaller teams.

Here’s a quick look at their annual pricing:

  • Pro Plan ($7.25/user/month): This plan gives you the basics, like conversation summaries for channels and threads.

  • Business+ Plan ($12.50/user/month): To get more useful features like AI-powered search, daily recaps, and translations, you’ll need to be on this plan.

  • Enterprise+ Plan (Contact Sales): The full suite of AI tools is only available on this custom-priced plan.

It's worth noting that a key feature like AI search isn't available on the entry-level paid plan. This per-user pricing can also get expensive as your team grows. In contrast, eesel AI's pricing is designed to be more predictable. It’s based on how much you use the AI, not how many people are on your team, so you don't get hit with a surprise bill. Plus, eesel AI never charges per resolution, so your costs won't shoot up as you get more efficient.

A screenshot of eesel AI's transparent, usage-based pricing page, offering a clear alternative to per-user models.::
A screenshot of eesel AI's transparent, usage-based pricing page, offering a clear alternative to per-user models.

Go beyond Slack AI Explain Messages with unified knowledge

Slack AI’s Explain Messages feature is a genuinely helpful tool for decoding your company's internal language. It’s a great start, but that’s all it is, a start. Because it only relies on Slack data, it can only ever give you part of the picture, leaving your team to go digging for complete answers in other systems.

For a truly intelligent and efficient workplace, you need to connect all the scattered places where your company knowledge lives. Doing that transforms a simple dictionary into an active, helpful AI assistant that provides complete answers and automates work. That's how you unlock real productivity gains for your whole organization.

Don't let valuable knowledge stay trapped in different apps. eesel AI connects to all your tools to build a powerful AI assistant that provides complete answers and automates work, directly from Slack. Start your free trial and see it for yourself in just a few minutes.

Frequently asked questions

The Slack AI Explain Messages feature acts as an on-demand dictionary for your workspace, providing instant, AI-generated explanations for internal jargon and project names. It scans your conversation history to help you quickly understand context without interrupting your workflow or coworkers.

Slack AI Explain Messages helps new hires independently understand project history and team-specific terminology. This allows them to quickly get up to speed, learn the ropes, and start contributing to conversations much faster, streamlining the onboarding process for everyone.

The biggest limitation is that Slack AI Explain Messages only pulls information from discussions within Slack. It cannot access critical, documented knowledge stored in external tools like Confluence or Google Docs, often leading to incomplete explanations and forcing users to search elsewhere.

No, Slack AI Explain Messages is primarily a passive tool designed to explain what something is. It functions like a dictionary, providing definitions and context, but it cannot perform actions, draft detailed responses, or route requests. For active assistance, a more integrated AI solution is needed.

To get more comprehensive answers, you need to connect Slack with a unified knowledge platform like eesel AI. This allows an AI assistant to pull information from all your company's knowledge sources, providing complete, accurate, and context-rich answers.

While Slack includes its AI features in all paid plans, the full suite of useful capabilities, including robust AI search, is typically reserved for the more expensive Business+ and Enterprise+ tiers. The entry-level Pro plan offers more basic AI functionalities.

Slack AI Explain Messages is most effective for clarifying internal jargon, acronyms, and project codenames that are frequently discussed within your Slack channels. It's particularly useful for quickly understanding context in ongoing conversations, helping new team members get oriented, and bridging communication gaps between different departments.

Share this post

Stevia undefined

Article by

Stevia Putri

Stevia Putri is a marketing generalist at eesel AI, where she helps turn powerful AI tools into stories that resonate. She’s driven by curiosity, clarity, and the human side of technology.