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✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

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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SleekView Charts dashboard for DALL-E and ChatGPT for WordPress

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

1

Point SleekView at the plugin tables

Add a SleekView data source for dcwp_logs and for wp_posts attachments joined to the _dcwp_* postmeta. Columns like type, model, total_tokens, post_author, and created_at show up ready to chart.
2

Switch the view to Charts

Toggle the view type from Table to Charts. SleekView creates an empty dashboard you can fill with cards built on the prompt and image rows you already collect every time someone uses the plugin sidebar or button.
3

Add chart cards on prompts and images

Pick a chart type, choose a grouping field like type, model, post_author, or created_at, pick a Count or Sum aggregation and a color. Each card is a saved query against the plugin tables, not a screenshot.
4

Share the dashboard with your team

Save the dashboard, scope it to a role like editor or content_lead, and embed it on a frontend page or in WP Admin so the team sees the same DALL-E and ChatGPT numbers without opening the Logs screen.

Sample dashboard

Charts you can build on DALL-E and ChatGPT logs

Four cards that turn the prompts, chats, and DALL-E images logged by the plugin into a working AI usage dashboard inside WordPress.
Number · Default

Total tokens this month

A big-number KPI summing total_tokens from dcwp_logs across both ChatGPT and DALL-E rows for the current month, with the previous month underneath so finance can see prompt token trends without opening the Logs screen.
Sum(total_tokens)
Pie · Donut

Prompts by model

A donut split across gpt-4o, gpt-4o-mini, gpt-3.5-turbo, dall-e-3, and any custom model the plugin talks to, sourced from the model column on dcwp_logs so the team sees the model mix at a glance.
Count group by model
Bar · Default

Calls by type

A vertical bar of dcwp_logs grouped by the type column so the team sees the mix between chat and image calls and whether DALL-E or ChatGPT is doing more of the work this period.
Count group by type
Area · Gradient

Daily prompt volume

A gradient area chart of prompts per day sourced from created_at on dcwp_logs, useful for spotting weekday patterns and the impact of editorial campaigns that lean on the AI sidebar or image button.
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_logs rows 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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