Generic LLMs Converse Well - But Miss on Accuracy

Generic LLMs tend to be open-ended, non-deterministic, and sometimes unpredictable by nature. Even when asked the same question repeatedly, their answers can vary widely. This inconsistency creates uncertainty, especially in scenarios where accuracy and predictability are non-negotiable. Worse still, these models often struggle when users do not take the time to provide task specific context and grounding, like the exact date or the specific nuances of a complex product, leading to responses that can confuse or frustrate users.

Rapidflare’s Task-Specific AI Closes the Gaps

Rapidflare’s task-specific AI agents are built to be context-aware, deterministic, and fully traceable - delivering answers that are fast, trustworthy, and consistent, even on the toughest queries.

Solving the Date Dilemma with Task-Specific AI

When we built askSIA for the Security Industry Association, we uncovered a subtle but critical problem: most LLMs failed to interpret event dates correctly. Even flagship models such as GPT5, misfired, pulling event data from months earlier - a frustrating experience for users looking for real-time information.

Our task-specific AI solved this by understanding temporal context and domain complexity, delivering precise answers every time.

In task-specific scenarios, even small lapses in context understanding can severely impact user experience.

Geoff, Marketing Director at SIA, puts it best:

"Developing an AI agent is a process that requires vision and continual improvement – and at the Security Industry Association (SIA), we have unique demands of our product and resources portfolio, including many thousands of pages of security, regulatory and technology guidance and programs. We sought the assistance of Rapidflare to be a real partner in our agentic AI journey, to listen to our feedback and structure their AI to meet our members’ needs. By leveraging their solution on top of SIA’s rich informational resources, we are transforming how the security industry grows, learns and accesses information."

The Future of AI: Specialization Over Generalization

As AI continues to evolve, the future belongs to explainable, trustable, and highly specialized AI agents that adapt perfectly to the business’s unique needs - especially in industries with complex products and critical workflows.

At Rapidflare, we’re proud to be at the forefront of this evolution, building AI that truly empowers customers, partners, and their end-users.