SleekView for AI Engine
SleekView reads AI Engine's logs and statistics tables and the posts and meta it stamps, then renders chatbot activity and generated content as sortable, filterable tables with model, bot ID and user ID as real columns.
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AI Engine ships its own logs. SleekView turns them into a workspace.
AI Engine is one of the more honest WordPress AI plugins about local logging: it writes chatbot exchanges and generation events to its own tables (commonly the AI Engine logs and statistics tables) and stamps generated posts with meta describing the model and run. The cloud still owns the model. The plugin keeps a usable trail in WordPress.
That trail is exactly what a row-level table can surface. SleekView reads the AI Engine log rows and the posts they relate to, then shows model, bot ID, user ID, message snippet and timestamp as real columns. Sort by date, filter by chatbot, scope to a single user, or pull every run on a specific model, all without leaving WP Admin.
Edits to the related generated posts run through standard WordPress CRUD, so post-save hooks still fire. The log rows themselves are read-mostly: SleekView surfaces them as a queryable list rather than a frozen stats tab.
Workflow
How SleekView reads AI Engine data
Pick the source
Compose the column set
Save and scope the view
Filter, edit or export
Sample columns
A typical AI Engine chatbot logs table
wp_mwai_logs + wp_posts + wp_postmeta
| Bot | Model | User | Message | Tokens | Time |
|---|---|---|---|---|---|
| Support bot | gpt-4o-mini | alex | How do I reset my password? | 412 | May 12 10:14 |
| Docs bot | gpt-4o | ria | What is the HPOS migration path? | 1,284 | May 12 09:51 |
| Sales bot | claude-3-5-sonnet | guest | Do you ship to Canada? | 276 | May 12 09:33 |
| Support bot | gpt-4o-mini | tom | My invoice is missing VAT | 498 | May 12 08:47 |
| Docs bot | gpt-4o | mia | How do I export the order CSV? | 920 | May 12 08:12 |
Comparison
Default AI Engine admin vs SleekView
AI Engine logs and statistics tabs
- Built-in logs view has a fixed column set and limited filters
- Cannot save per-role views for support vs governance vs ops
- Statistics tab is roll-up only, not a queryable row list
- No way to combine log rows with related generated posts in one view
- Custom export of logs requires direct SQL or an add-on
SleekView
- Read directly from the AI Engine logs and statistics tables
- Bot ID, model and user as sortable, filterable columns
- Join logs to wp_users and to generated posts in one row view
- Save filtered views per role ("Support bot last 7 days")
- Export the filtered logs to CSV without an add-on
Features
What SleekView gives you for AI Engine
Logs as a real workspace
The AI Engine logs table becomes a sortable, filterable list with model, bot and user as columns, instead of a fixed tab with one report layout.
Logs joined to posts
When a log row produced a generated post, SleekView surfaces both in the same view. Triage chatbot answers and the articles they spawned without two screens.
Compose precise filters
Combine bot ID, model, user and date range into a saved filter. A weekly support audit becomes a single named view rather than a daily query.
Audience
Who uses SleekView for AI Engine
Chatbot owners
Filter to a single bot, sort by date, and spot conversations with high token counts that need a smaller model or a tighter prompt.
Support teams
Pull every chatbot conversation tied to a logged-in user before a call. The username and message snippet sit in the row, so context is immediate.
Governance
Audit chatbot answers across models and bots, or scope to a specific date range when an incident report needs an evidence trail.
The bigger picture
Why AI Engine activity deserves a row-level table
AI Engine puts a chatbot in front of real users, and the logs table fills up faster than the built-in tabs were designed to summarise. The statistics tab is useful for a quick read, but it cannot answer questions like "which conversations on the support bot used GPT-4 last week" or "every message this user sent in the last month". SleekView reads the same logs and statistics tables and renders them as a queryable list with model, bot and user as real columns.
Chatbot owners triage in seconds. Support pulls user history before a call. Governance produces an evidence trail without a custom SQL query.
Same data, same plugin, very different working posture.
Questions
Common questions about SleekView for AI Engine
AI Engine's own logs and statistics tables (commonly wp_mwai_logs), plus the posts and postmeta it generates. SleekView surfaces what the plugin has already written; it never calls the AI Engine cloud or a model vendor.
No. SleekView never calls a model vendor. The log rows are already in your WordPress database because AI Engine wrote them there. Rendering a table is just a query against those rows.
Yes. AI Engine stores the bot ID and the model string on each log row. SleekView exposes them as filterable columns so you can scope a view to a single bot, a single model, or both at once.
Yes. AI Engine also writes generated posts into standard WordPress post types with meta describing the run. SleekView treats those as another data source you can place next to the logs.
Yes. Filter on the user ID column and every row narrows to that user. Useful for support handovers and for governance reviews of a specific account.
Logs are read-mostly in AI Engine, so SleekView treats them as a queryable list rather than an inline-editable table. Related generated posts can be edited inline because they sit in wp_posts and go through CRUD.
Yes. Any filtered log set exports as CSV with the same columns the view shows. Useful for briefing a stakeholder or archiving a snapshot before a cleanup sprint.
It reads whichever tables and meta the installed version writes. The free version already logs chatbot activity for most setups; if a premium feature is the one writing a specific column, the table will only show what is actually in the database.
Pricing
More than 1000+
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SleekAI
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SleekByte
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SleekMotion
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SleekPixel
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SleekRank
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SleekView
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