AI chatbot for DW Question Answer: synthesize the best reply
SleekAI reads the dwqa-question and dwqa-answer post types, the categories and tags, and vote meta so visitors get a synthesized reply with linked threads. Bring your own OpenAI, Anthropic, Google, or OpenRouter API key.
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Q&A archives age faster than the questions do
DW Question Answer ships with a clean Stack Overflow style flow built around the dwqa-question and dwqa-answer post types, the dwqa-question_category and dwqa-question_tag taxonomies, and per-question vote meta. The data model is straightforward and the front end is lean. Over a couple of years, the index swells to several thousand questions and visitors stop browsing.
SleekAI reads the dwqa-question rows and their linked dwqa-answer children, ranks them by votes and acceptance, and replies with one synthesized paragraph plus the three best source threads. "How do I prevent comment spam in 2024" returns a current consensus and three thread IDs so the visitor can verify before acting.
Generic chatbots cannot do this. They were trained months ago and have no view of your archive, your accepted answers, or which threads moderators trust most. SleekAI ships with display conditions to keep the bot on the Q&A area, multibot mode for category-specific assistants, and conversation logs that show which questions the bot answered well and which surfaced an archive gap.
Workflow
How the DW Q&A bot works
Map the Q&A data
Define the synthesis policy
Scope where the bot loads
Watch the gaps emerge
Try it now
A typical DW Q&A conversation
Comparison
Generic chatbot vs SleekAI for DW Question Answer
Generic chatbot
- Cannot read the dwqa-question and dwqa-answer post types
- Has no idea which answer was accepted or how many votes it got
- Cannot rank by category, tag, or recency
- Will invent thread numbers that do not exist on your site
- Knows nothing about your moderator-trusted authors
SleekAI chatbot
-
Reads
dwqa-questionanddwqa-answerpost types and votes - Honors the accepted-answer meta on each question
-
Filters by
dwqa-question_categoryand tag terms - Cites real thread IDs so visitors can verify and click through
- Scopes to the Q&A archive via display rules so the bot stays focused
Features
What SleekAI gives you for DW Question Answer
Vote-weighted ranking
The bot weights high-vote answers above low-vote ones and accepted answers above the rest. Visitors get the community consensus rather than whichever thread happens to be most recent or most verbose.
Verifiable citations
Every synthesized reply includes the thread IDs and titles it drew from. Visitors verify by clicking, and moderators see which threads the bot cites most often so they can keep them current.
Honest gap reports
When no thread covers the question, the bot says so and offers to file it as a new question. Conversation logs flag these gaps so moderators see exactly where the archive lets visitors down.
Use cases
Where the bot lifts the heaviest weight
Developer communities
WordPress, PHP, and JS communities use DW Question Answer to crowdsource bug fixes. A bot that synthesizes the top accepted answer keeps the archive useful long after the original thread goes quiet.
Course Q&A boards
Online courses with a private DW Q&A board get a bot that answers students with the accepted thread first, freeing instructors to focus on novel questions instead of repeats.
Internal knowledge bases
Agencies and teams use DW Q&A as an internal knowledge base. The bot reads private threads behind login and turns the archive into a searchable assistant for the whole team.
The bigger picture
Why DW Q&A archives need synthesis
DW Question Answer is lean, predictable, and runs well even on a small VPS. That is exactly the kind of plugin that gets picked for communities that grow slowly and steadily for years. The challenge that every such community hits is archive decay.
Visitors land via search engines on a thread from 2020, see five answers, and cannot tell which one still applies. Moderators cannot keep every thread current. A bot that synthesizes the accepted answer plus the two most upvoted alternatives turns the archive into a current answer engine without rewriting a single thread.
The data model already encodes community consensus through votes and the accepted-answer flag. The bot exposes that consensus in the one-paragraph format visitors actually read. Conversation logs show which questions the archive answered well and which left visitors empty-handed, which is the most useful curation signal a community can get.
Over a year, the archive ages better, search traffic converts more, and the moderators spend less time repeating themselves. That is the difference between a Q&A site that drifts and one that compounds.
Questions
Common questions about SleekAI for DW Question Answer
Yes. SleekAI maps dwqa-question and dwqa-answer post types, the two taxonomies, the vote counts, and the accepted-answer meta as named variables. The bot reads the same fields the public Q&A pages render.
 By default accepted answers come first, then high-vote answers, then recency. A single PHP filter lets you re-weight by author trust score, moderator pin status, or any custom meta your team already uses.
 The bot says so honestly and offers to submit the question as a new dwqa-question record. It will not fabricate a thread or invent a community consensus. The system prompt forbids hallucinated citations.
 Read-only is the default. With a PHP action enabled the bot can post new questions or comments tied to the logged-in user. Most teams start read-only and add write access after a month of monitoring conversations.
 Yes. DW Question Answer supports private visibility, and SleekAI respects the read_post capability. Private threads never surface to the public bot. A logged-in bot with the right role can see them if your access rules allow.
 Per-category prompts let you weight recent answers higher in time-sensitive categories (security, plugin versions) and older accepted answers higher when the topic is stable. The weighting is a one-line config per category.
 Any of OpenAI, Anthropic, Google, or OpenRouter work well. Most communities pick gpt-4o-mini or Claude Haiku for the volume, and reserve Claude Sonnet or GPT-4o for the highest-stakes categories like security.
 Yes. Display conditions accept URL patterns and template names so the chat only loads on the DW Q&A pages. The rest of the site stays untouched and your bandwidth stays low even on a high-traffic homepage.
 Pricing
More than 1000+
happy customers
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