SleekView Charts for AI Engine WPAICG
SleekView Charts reads the WPAICG chatbot logs, content writer logs and embeddings tables directly, then renders sessions, generated posts, token spend and embedding queries as Number, Pie, Bar and Area cards.
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WPAICG does a lot. Its reporting only shows the latest of each thing.
WPAICG (AI Engine, by AIPower / WPAICG) bundles a chatbot, a content writer, image generation and an embeddings store into one plugin. Each subsystem writes its own log: chatbot sessions and messages, content writer runs, image generations and embedding queries. The plugin's admin gives a recent-rows view of each.
That is fine for verifying the last run of each subsystem. It is not how you answer the actual questions a site owner has: how many chat sessions per month versus how many content writer runs, what the token mix looks like across chat versus writer versus embeddings, which subsystem is responsible for cost spikes and how usage of each has trended since launch.
SleekView Charts reads the same WPAICG log tables and lifts them into a small dashboard. A Number card surfaces total tokens this month across all subsystems. A Pie splits tokens across chat, content writer and embeddings. A Bar groups generated posts by topic. An Area trends daily activity per subsystem so cost and usage have one shared timeline.
Workflow
Turn WPAICG logs into a dashboard
Read subsystem logs
Compose the chart cards
Save and scope the dashboard
Share or export
Sample dashboard
Charts you can build from WPAICG data
Total tokens this month
Sum(tokens_used)
Tokens by subsystem
Sum(tokens_used)
group by subsystem
Generated posts per topic
Count
group by topic
Activity per subsystem per day
Count
group by log_date
Comparison
Default WPAICG reporting vs SleekView Charts
Default WPAICG subsystem logs
- Each subsystem has its own log, no cross-subsystem totals
- Token spend visible per row, no monthly sum or split
- No visual share of spend across chat, writer and embeddings
- No daily trend showing which subsystem moved
- No read-only dashboard for non-admin stakeholders
SleekView Charts
- KPI card for total monthly tokens across the whole plugin
- Donut of spend split across chat, writer and embeddings
- Bar of generated posts per topic for editorial accountability
- Stacked area of daily activity per subsystem on a shared timeline
- Filters carry between table view and chart view on the same dataset
Features
What SleekView Charts gives you for AI Engine WPAICG
One dashboard, every subsystem
Roll WPAICG chatbot, content writer and embeddings into a single Number, Pie, Bar and Area dashboard instead of three separate log pages.
Spend split, not just total
A donut of tokens by subsystem makes it obvious whether the bill is driven by chats, by the writer or by embedding queries this month.
Share a read-only snapshot
Send leads or finance a URL of the AI usage dashboard. Capability gating means non-admins see counts and sums, not raw chat content.
Audience
Who builds WPAICG charts dashboards with SleekView
Site owners
See total monthly token spend, the split across subsystems and a stacked daily trend. Cost reviews are minutes, not hours.
Editorial teams
Track content writer runs per topic and per author, watch the publish rate of generated drafts and treat the writer as a measured channel.
Support teams
Trend chatbot sessions per day and per entry page, spot busy hours and refine prompts against real conversation patterns instead of guesswork.
The bigger picture
Why a multi-subsystem AI plugin needs one dashboard
WPAICG bundles four AI surfaces into one plugin, which is genuinely useful operationally and genuinely awkward for reporting. Each subsystem has its own log table and its own admin tab. None of them answer the only question that matters at the end of the month: what did the plugin cost, where did the cost come from and is usage trending up or down.
A KPI of total monthly tokens, a donut split across chat, writer and embeddings, a bar of generated posts per topic and a stacked area of daily activity per subsystem turn four logs into one operating picture. Same data, same plugin, completely different posture toward cost and growth.
Questions
Common questions about SleekView Charts for AI Engine WPAICG
WPAICG's existing log tables for chatbot, content writer and embeddings, plus the wp_posts rows the writer produces. Column names vary by version (wpaicg_chatlogs, wpaicg_writer_logs, wpaicg_embeddings or current equivalents); SleekView auto-detects the active tables.
Yes. Table view and chart view share the dataset, so a filter for the chatbot subsystem or a single month applies to both surfaces. Pivoting between row inspection and aggregate reporting is one click.
Yes. Group by subsystem with a Pie or Donut card and aggregate tokens_used as Sum. The split between chatbot, content writer and embeddings is the answer site owners usually ask first.
Yes. The core log tables for chatbot and content writer are present in the free build. Pro adds richer columns (image generation logs, finer model attribution) that simply give more chart options when available.
Yes. Group by log_date or created_at with an Area or Line card. Stacked variants are particularly useful for seeing which subsystem drove a spike.
No, unless the dashboard is explicitly configured to show message body columns. Counts, sums and averages do not require reading content text, and column visibility is gated by capability.
Yes. Any filtered set behind a card exports to CSV with the same columns the table view would show. Useful for monthly cost reviews or for sharing usage with finance or with a prompt engineer.
No. WPAICG remains the chatbot, writer and embeddings engine. SleekView Charts reads the resulting logs and renders them as a dashboard, so the plugin stays the source of truth for configuration and execution.
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