Start with ready-to-use bot templates or create your own manually.
Use your codebase, API specs, database schema, or documentation as AI bot context
Pull context from existing Workik workspaces or upload new files directly
Choose the AI model, set temperature, token limits, and fine-tune behavior
Create specialized bots for frontend, backend, testing, or community support
Test prompts and responses inside Workik before deploying
Deploy bots to Slack or Discord — across public or private channels
Vector search ensures bots respond using the most relevant context every time
Monitor performance and refine responses based on real usage
GALLERY
What types of context can I add to train an AI bot?
You can add everything your team works with — code files, API specifications (like Postman or Swagger), database schemas, internal docs, markdown files, and even structured text. Bots can pull from existing Workik workspaces.
Can I build bots for different use cases within the same project?
Yes. You can create multiple bots from the same context but tune them for different roles — like frontend help, CI/CD troubleshooting, or even onboarding guidance for new devs.
How do I ensure a bot doesn’t give vague or off-topic answers?
Bots use vector search to stay grounded in your project context. You can test prompts in advance and adjust their tone, model, and input depth to reduce irrelevant responses.
If I update my GitHub or GitLab repo, does the bot context update automatically?
Yes. When your bot is linked to a GitHub or GitLab repository, any changes pushed to the repo are automatically detected and re-indexed by Workik’s vector search. The bot will use the updated content without requiring manual re-import.
What if I update a Programming with AI workspace that’s used in a bot?
If your AI bot is using a context sourced from a Programming with AI workspace, any changes made to that workspace won’t automatically sync. You’ll need to re-import the updated workspace into the bot and re-enable vector search to re-index the latest context.
How does token usage work for bots, especially on Slack or Discord?
Token usage is tied to the creator of the bot. When a bot is used in Slack or Discord, tokens are consumed from the creator’s account — not the end user’s. All usage is centrally managed and visible in your AI Logs, just like in Programming With AI.
Can AI bots in Workik facilitate learning and development for my team?
Absolutely. Beyond their task-oriented capabilities, AI bots can provide educational insights and suggestions, fostering a learning environment that helps your team grow their skills organically.
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