SleekView Charts for DALL-E and ChatGPT: chart prompts and images
The DALL-E and ChatGPT for WordPress plugin saves every chat reply and every DALL-E image into a log table and the Media Library with prompt metadata. SleekView Charts reads those rows and turns them into a dashboard of prompt KPIs, model donuts, top-editor bars, and daily-volume trend lines.
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From prompt logs to a single AI dashboard
The DALL-E and ChatGPT for WordPress plugin gives editors a sidebar to chat with GPT and a button to generate DALL-E images straight into the Media Library. Every prompt and every image is recorded in a logs table, but the built-in screen only shows a scrolling list and a token total. There is no way to chart how many DALL-E images vs ChatGPT prompts your team ran, which model carried the workload, or how the daily volume changed across the month.
SleekView Charts reads the rows the plugin already writes. Prompts and responses live in dcwp_logs with columns like type, model, total_tokens, user_id, and created_at. DALL-E images land in wp_posts as attachments with _dcwp_prompt and _dcwp_model postmeta. Settings sit under the dcwp_settings option. SleekView pulls those columns into a chart builder where you pick type, model, an aggregation, and a color.
You keep every guardrail the plugin gives you. The OpenAI key stays in the plugin, per-user limits stay enforced, and the Media Library still owns the image files. SleekView simply turns the existing prompt and image rows into a configurable dashboard editors, content leads, and finance can read without ever opening the plugin Logs screen.
Workflow
From DALL-E and ChatGPT logs to a chart dashboard
Point SleekView at the plugin tables
Switch the view to Charts
Add chart cards on prompts and images
Share the dashboard with your team
Sample dashboard
Charts you can build on DALL-E and ChatGPT logs
Total tokens this month
Sum(total_tokens)
Prompts by model
Count
group by model
Calls by type
Count
group by type
Daily prompt volume
Count
group by created_at
Comparison
Default plugin Logs vs SleekView Charts
Default plugin Logs view
- Only a flat Logs screen and a single running token counter at the top of the page
- No grouping by model, by type, by editor, or by date in the built-in plugin screen
- No comparison of prompt or image volume month over month without exporting the log
- No role-scoped dashboards for editors, content leads, finance, or external clients
- No way to embed a DALL-E or ChatGPT usage chart on a frontend page or report screen
SleekView Charts
-
Chart cards built directly on the
dcwp_logsrows and DALL-E attachment postmeta - Mix Number, Pie, Bar, Line, and Area cards on a single ChatGPT and DALL-E dashboard
- Group by model, type, post_author, or created_at without writing a single SQL query
- Saved chart views scoped per role for editors, content leads, finance, and clients
- Embed any saved chart view on a frontend page or screen with role-based access
Features
What SleekView Charts gives you for DALL-E and ChatGPT for WordPress
Real chart cards on plugin data
Number, Pie, Bar, Line, Area, Radar, and Radial cards built directly from the dcwp_logs rows the plugin writes and the _dcwp_prompt, _dcwp_model postmeta on every DALL-E attachment.
Keys and limits untouched
SleekView Charts only reads the log table and attachments. The OpenAI key, model settings, and per-user limits all stay where the plugin keeps them, with no extra surface to secure.
Share without extra logins
Save dashboards per role and embed them on frontend pages so content leads and finance see the same DALL-E and ChatGPT numbers without opening the plugin Logs screen at all.
Audience
Who builds DALL-E and ChatGPT dashboards with SleekView Charts
Editorial teams
Watch the daily prompt area and the calls-by-type bar to see whether the team is leaning on ChatGPT chat, DALL-E images, or both across the editorial week.
Finance and ops
Use the total tokens KPI and the prompts-by-model donut to keep OpenAI spend predictable across GPT and DALL-E and attribute it back to editorial workflows.
Agencies
Build a DALL-E and ChatGPT dashboard per client site, scope it to a client role, and skip the screenshot exports for monthly AI usage reporting.
The bigger picture
Why DALL-E and ChatGPT for WordPress deserves a real charts dashboard
The DALL-E and ChatGPT for WordPress plugin is one of the easiest ways to drop GPT and DALL-E into the editor. That same ease is exactly why the volume creeps up without anyone noticing. The built-in Logs screen records every prompt and image, but it never groups them into anything readable.
SleekView Charts treats those logs as a real dataset. Editors get a daily prompt area chart they can read in five seconds, content leads get a model donut that shows whether the workload sits on GPT or DALL-E, and finance gets a clean monthly token KPI that lines up with the OpenAI invoice. The key stays in the plugin, the Media Library still owns the images, and the reporting finally lives where the work happens.
Questions
Common questions about SleekView Charts for DALL-E and ChatGPT for WordPress
No. SleekView only reads rows from dcwp_logs and the DALL-E attachment postmeta the plugin already wrote. Every OpenAI or DALL-E call still goes through the plugin with the keys, models, and limits it manages, so the dashboard never adds usage.
 No. SleekView caches each chart card for the duration you set on the source and runs indexed group-by queries against dcwp_logs and wp_postmeta. The reads happen in milliseconds and never block the plugin from writing new prompt or image rows.
 Yes. dcwp_logs writes both feature types into the same table with the type column distinguishing them. SleekView can chart them on one dashboard, separate them with two cards, or filter a single card down to one type with a where clause.
 Yes. The plugin records the prompt text and any preset identifier alongside the model on every row. SleekView can group by model or by preset name in the same way, so custom presets show up next to the built-in ones on the donut and the bars.
 Yes. SleekView dashboards have a role scope. Save the AI dashboard for editor or content_lead and only users in that role see it, so writers don't see token costs and finance doesn't have to read prompt transcripts on the editor screen.
 Only if the plugin renames the columns or postmeta keys SleekView is reading. The dcwp_logs shape and the _dcwp_prompt and _dcwp_model keys have stayed stable across releases, and SleekView shows a clear error if anything changes.
 Yes. Every saved chart view has a shortcode and a block. Drop it on a frontend dashboard page, scope the page to a client role, and the client sees the AI numbers without ever logging into the plugin Logs screen or the Media Library.
 Yes. Every SleekView chart card has a CSV export that pulls the same rows the chart was built on. Use it to hand finance a monthly token-spend file or feed an external BI tool directly, without touching the plugin tables by hand.
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