AI Chatbot with Team Sharing across WordPress editors
SleekAI lives inside WordPress, so the user roles you already use for editors, authors, and shop managers also control who can build chatbots, edit prompts, see conversation logs, or just chat with deployed bots. Every team member uses the same shared bot library, no extra SaaS seat required.
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Editorial teams share bots, not per-seat SaaS logins
External AI tools handle team sharing through their own login, their own seat pricing, and their own permission model. If your editors already live in WordPress, that means double the accounts, double the offboarding work, and a separate audit trail every time someone leaves. The bot lives in one system and the people who actually edit it live in another.
SleekAI sits inside WordPress, so it inherits the user table you already maintain. Editors, authors, shop managers, and any custom role can be granted explicit capabilities for SleekAI: sleekai_create_bot, sleekai_edit_bot, sleekai_view_logs, sleekai_manage_providers. Add the cap to the role once and every existing user with that role inherits it. Remove a user and they lose chatbot access at the same moment they lose post editing access.
Bot definitions live in custom post types, so they show up in standard WordPress lists with author, modified date, and revision history. Two editors can iterate on the same system prompt without stepping on each other through the normal post-lock UI. The shared bot library is just the regular WordPress library, scoped by capability, with the same backup and migration story as the rest of your content.
Workflow
Set up shared bots for the team in four steps
Map roles to capabilities
Build the shared library
Set provider keys once
Onboard and offboard normally
Try it now
Ask the team sharing demo bot
Comparison
Generic chatbot vs SleekAI for team sharing
Generic chatbot
- Charges per seat for every team member who needs access
- Maintains a separate user directory disconnected from WordPress
- No mapping from existing editor or author roles to chatbot rights
- Offboarding requires deleting the user in two different systems
- Audit logs scattered across a SaaS dashboard and WordPress
SleekAI chatbot
- Uses native WordPress roles and capabilities for chatbot access
- Granular caps for create, edit, view logs, manage providers
- Bots are custom post types with author and revision history
- Standard post-lock UI prevents editors from clobbering each other
- Offboarding a WP user instantly removes chatbot access
Features
What SleekAI gives you for Team Sharing
WordPress-native roles
SleekAI registers a small set of capabilities that map cleanly onto editor, author, and shop manager roles. Anyone you trust to publish a post can be trusted to ship a chatbot, with the same offboarding flow.
Granular capabilities
Separate caps for creating bots, editing prompts, viewing conversation logs, and managing provider keys let you keep API credentials locked down to admins while editors iterate on system prompts and presets freely.
Shared bot library
Every chatbot is a custom post in the shared bot library. Editors see the same list, revisions, and authors that they see for any other content. Filter by status, search by name, restore an older prompt from history.
Use cases
Where shared bots replace per-seat SaaS tools
Editorial teams
Magazines and publisher sites give editors a shared docs bot, a fact-check bot, and a tone-of-voice bot. Same WordPress login as the CMS, no extra subscription line item on the budget.
Ecommerce teams
Shop managers tune a product-recommendation bot while marketing tweaks the FAQ bot. Two people, two roles, one chatbot library, with provider keys locked to the shop owner role.
Education and community sites
Course leads share a study-helper bot across a learning community. Teaching assistants can tune the system prompt within their capability, students can chat with the deployed bot through normal display conditions.
The bigger picture
Why team sharing belongs in the CMS
Most AI tools were built for product teams and treat WordPress sites like a webhook target. That works when one person owns the chatbot and never hands it off. It breaks the moment a publication, an agency, or an ecommerce team needs five different editors iterating on prompts, a tech lead managing provider keys, and a content director auditing conversation logs.
Each one of those people already lives in WordPress with the right role for everything else they do. Forcing them into a parallel SaaS account doubles the user directory, doubles the offboarding work, and creates a separate audit trail just to support the chatbot. SleekAI takes the opposite approach.
The chatbot library lives in wp_posts as a custom post type, the access controls live in the existing user role system, and conversation logs live in a normal database table on the same install. Everything inherits the editorial workflow you already trust for posts and pages, which means a content team can adopt AI chat the same way they adopt any other CMS feature: assign the right role, train people on the new screen, and move on. There is no separate SaaS bill, no separate onboarding flow, and no risk of an orphaned account holding access months after someone leaves.
The chatbot stops being a side system and becomes a piece of the website like every other piece.
Questions
Common questions about SleekAI for Team Sharing
No. SleekAI uses the existing wp_users table and the existing wp_user_meta capabilities. Every team member already in WordPress is already in SleekAI, with no separate signup, no second password, and no risk of an orphaned account lingering after offboarding.
 The plugin adds capabilities like sleekai_create_bot, sleekai_edit_bot, sleekai_view_logs, sleekai_manage_providers, and sleekai_use_chat. Each one is assignable to a role through standard role-management plugins like Members or User Role Editor, or through code in your theme.
 WordPress post locking prevents that for normal posts, and the same lock applies to chatbot custom posts. When editor A opens a bot for editing, editor B sees the standard takeover prompt and can either wait, take over, or open the bot in read-only mode.
 The sleekai_view_logs capability gates the entire conversation log UI. Within that, you can scope further by author so editors only see logs from bots they own. Most teams give the cap to editors and shop managers, while subscribers and customers never see it.
 Chatbot definitions are custom posts in wp_posts, so they back up with the rest of your site via standard WP migration tools like Duplicator, WP Migrate, or All-in-One WP Migration. Move staging to prod and the entire bot library moves with the database.
 Yes. Provider configuration is gated by the sleekai_manage_providers capability, which defaults to administrators. Editors and authors can pick from configured providers but cannot view or rotate the API keys themselves, which keeps OpenAI and Anthropic credentials contained.
 Yes. On WP multisite, each subsite has its own bot library and conversation log table. Network admins can grant SleekAI capabilities through standard multisite role tools, and a network-wide provider configuration is available when you want a single API key budget.
 Logged-in users with the sleekai_use_chat capability see the chat widget on pages where the bot is configured to display. Visitors who are not logged in also see the bot when display conditions allow public access, so internal team bots and customer-facing bots use the same widget.
 Pricing
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