Context Layer
The right context, exactly when it is needed.
AI tools usually only see the current conversation. wikiTaTa is the layer that feeds them the exact project knowledge they need — no more, no less.
What it is
AI tools are powerful, but they usually only see the current conversation. wikiTaTa acts as the context layer between the AI and your project, allowing the system to retrieve the exact information needed at the right time. Instead of overloading the AI with massive prompts, wikiTaTa supplies focused context — helping reduce hallucinations, improve consistency, and keep work aligned with the real project state.
How it works
Retrieval, not injection
Instead of prepending your entire project brief to every prompt, wikiTaTa retrieves only the cards relevant to the current task. The AI sees a focused slice of knowledge, which keeps prompts tight and responses accurate.
Semantic matching at retrieval time
Cards are embedded so the system can find relevant context by meaning. A task about "rate limiting" surfaces the right policy card even if that card is titled "API throttle rules" — vocabulary mismatches no longer cause gaps.
Tiered supply by need
A one-line card summary is enough when the agent is orienting; the full body is fetched only when the agent is actively working on that topic. This keeps each request focused on what the moment actually demands.
Retrieval stays current
After a task completes, the agent can propose updates to the cards it used, so retrieved context stays current. The next retrieval is more accurate than the last because the knowledge base reflects what actually happened.
What it changes for you
- Hallucinations that come from the AI not knowing your project's real constraints become far less common.
- Long preamble prompts that re-explain the project on every call shrink down to a targeted retrieval.
- Responses stay consistent across sessions because agents pull from the same source of truth, not from reconstructed memory.
- Context gaps — where the AI gives correct generic advice but wrong project-specific advice — get smaller the more cards you maintain.