AI chatbot for FluentBoards: query your project boards in plain English
SleekAI reads boards from wp_fbs_boards, stages from wp_fbs_stages, tasks from wp_fbs_tasks, and assignees from wp_fbs_users, then answers project status questions in plain English using your own OpenAI, Anthropic, Google, or OpenRouter API key.
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Kanban boards are great for showing work and bad for answering questions
FluentBoards puts a fast Kanban board inside WordPress. You can have one board per project, columns for stages, and cards for tasks. The view is clean, but managers asking simple questions still have to manually scan the board. How many tasks are overdue. Which assignee has the heaviest queue. Which column has been stuck the longest. The answer is in the data, but finding it takes minutes of clicking.
SleekAI reads FluentBoards directly. Boards live in wp_fbs_boards, stages in wp_fbs_stages, tasks in wp_fbs_tasks, and assignees in wp_fbs_users. The bot can answer "who has the most overdue tasks this week" by querying those tables instead of asking a human to count cards.
Generic chatbots have no access to your board data and no understanding of project status. SleekAI ties answers to the same rows the FluentBoards UI shows, so chat responses match the board exactly.
Workflow
How SleekAI plugs into FluentBoards
Install on the same site
Map the FluentBoards tables
Restrict by role and page
Pick a model and launch
Try it now
A typical FluentBoards conversation
Comparison
Generic chatbot vs SleekAI for FluentBoards
Generic chatbot
- Has no access to FluentBoards tasks, stages, or assignee records
- Cannot count overdue tasks or measure stage dwell time
- Has no view of who is assigned to which card or how long it has sat
- Forces managers to scan the board manually for trivial status answers
- Cannot compare today's workload to last week without manual work
SleekAI chatbot
-
Reads boards from
wp_fbs_boardswith board type and status -
Knows stages and their order from
wp_fbs_stages -
Pulls tasks with due dates and labels from
wp_fbs_tasks -
Maps assignees via
wp_fbs_usersand the task pivot table - Powered by your own OpenAI, Anthropic, Google, or OpenRouter API key
Features
What SleekAI gives you for FluentBoards
Workload at a glance
Ask who has the most open tasks or the most overdue tasks. The bot reads wp_fbs_tasks live and answers in seconds. Rebalancing decisions that used to need a 30-minute review now happen in a single chat exchange.
Stage dwell time
Identify the column that bottlenecks the board. The bot calculates average dwell per stage from the task timestamps, surfacing the column that holds work the longest so the team knows where to push next.
Overdue and at-risk
Surface overdue tasks instantly and the ones that will be overdue this week. Combined with assignee filtering, managers can run a quick triage check during standup without flipping between board and spreadsheet.
Use cases
Where FluentBoards teams plug in SleekAI
Agency project dashboards
Agencies running client projects in FluentBoards use the bot for daily standup status and quick load-balancing across designers, developers, and project managers without opening every card.
Internal team boards
Marketing, content, and HR teams using FluentBoards for editorial calendars and hiring pipelines benefit from a bot that answers status questions during meetings without breaking flow to look at the board.
Sprint planning recaps
At the end of a sprint, the bot summarizes what shipped, what slipped, and where the bottlenecks were. The recap goes into the next sprint plan in minutes instead of an hour of manual aggregation.
The bigger picture
Why your board needs a chat layer
Kanban boards optimize for visual scanning, not for analytical questions. Counting overdue tasks across a 100-card board is awful. Comparing assignee workload at a glance is hard.
Computing average dwell time per stage requires exporting to CSV and dropping into Excel. Most managers do not do that work, which means the board stops being a decision-making tool and turns into a status display. SleekAI puts the analytical layer right on the board page.
The bot reads tasks live from wp_fbs_tasks. It joins stages from wp_fbs_stages and assignees from the user pivot. A question like "who is overloaded this week" goes from a 15-minute manual count to a one-line answer.
Multibot lets a per-board chatbot exist for each project. A sprint board gets engineering-focused presets while a content calendar board gets editorial ones. Conversations log with the board URL and the token usage, so the team can see which questions matter most and bake them into a standup prompt or a manager dashboard.
The bot does not replace the visual board, it complements it. People still drag cards across columns. They reach for the chat when they want a fast aggregate answer that the board layout cannot give them.
The result is faster decisions and fewer meetings that exist only to surface what the data already knew.
Questions
Common questions about SleekAI for FluentBoards
Boards live in wp_fbs_boards. Stages live in wp_fbs_stages, tied to a board_id. Tasks live in wp_fbs_tasks with stage_id and due_at columns. Assignees come from wp_fbs_users and a pivot table linking users to tasks. SleekAI maps each of those for the bot.
 Not by default. SleekAI is read-only out of the box, which is safer for project data. If you need creation or moves from chat, you can wire a custom action to FluentBoards' API and restrict it to authorized users only via the chatbot Display Conditions.
 It depends on scoping. An admin or PM-only bot can see everything. A per-user bot can be restricted to the logged-in user's own tasks, so designers see their own queue without seeing the rest of the team's load. Both are configurable in Display Conditions.
 Any model from OpenAI, Anthropic, Google, or OpenRouter. For counting, sorting, and short summaries, smaller models like GPT-4o-mini or Claude Haiku are usually sufficient. You bring your own API key and choose the model per chatbot.
 Yes. Multibot lets each board page have a chatbot scoped to that one board's data. A Sprint 14 board, a Content Calendar board, and a Hiring Pipeline board can each have their own persona and presets that match the use case.
 It queries the relevant subset rather than dumping every row. Filters like board_id, stage_id, assignee_id, and due_at keep the context tight. The model only sees the slice it needs to answer the current question, which keeps token usage reasonable.
 No. The board UI is great for drag-and-drop and visual scanning. The chatbot covers questions that the UI is bad at, like counts, averages, and overdue summaries. Teams use both side by side and reach for whichever fits the moment.
 SleekAI logs each chat with the originating page URL, the model name, and the token usage. For boards, you can also pass the board_id into the conversation metadata so the logs show which board generated the most questions over time.
 Pricing
More than 1000+
happy customers
Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.
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SleekPixel
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