Overview
KreateBots is a no-code/low-code platform designed to build AI assistants, LLM apps, and AI agent workflows.
It is evolving from an AI assistant builder into a full AI Assistant Lifecycle Platform, managing the entire process from concept to continuous improvement.
Design → Build → Personalize → Deploy → Monitor → Optimize → Scale
Current Capabilities
1. Prompt Development & Experimentation
- Define, test, and refine prompts in one place.
- Experiment with different LLM settings.
- Track versions, compare responses side-by-side, and review metrics.
2. Personalization Engine
- Allow domain experts to define key user attributes (e.g., diet, age, financial profile).
- Enable profile-driven assistants that automatically personalize responses.
3. RAG & Advanced Pipelines
- Build assistants with or without Retrieval-Augmented Generation (RAG).
- Configure chunking, embeddings, and select vector DBs (Pinecone, Chroma, etc.).
- Retrieve context before LLM calls to provide accurate, domain-specific answers.
4. Complex Agent Workflows
- Integrate with Google Drive, OneDrive, and document uploads.
- Deploy AI agents that can fetch, analyze, and act on both structured and unstructured data.
5. Document & Data Analyzers
- Define prompt-driven workflows to perform specific tasks.
- Summarize papers, extract legal clauses, identify complaints, or extract numerical data.
6. Image & Multimodal Workflows
- Upload and embed images with your chosen model.
- Store multimodal embeddings in vector DBs.
- Build image search, recommendation engines, or auto-generate articles from visuals.
7. Team Collaboration
- Enable role-based collaboration for domain experts, developers, and reviewers.
- Utilize shared workspaces for building assistants.
- Track version history and manage approvals.
8. API & Assistant Output
- Auto-generate REST APIs for various models (OpenAI, Gemini, Azure OpenAI).
- Deploy instantly with a built-in assistant UI that includes profile integration.
9. Feedback Loops
- Collect user ratings (thumbs up/down) on assistant responses.
- Feed insights back into the prompt development process for improvement.
- Track accuracy and satisfaction metrics over time.
Upcoming Capabilities
- Monitoring & Analytics Dashboard: Get end-to-end observability (usage, latency, hallucination rate), detect drift, and track performance visually.
- Multi-Channel Deployment: One-click deployment to Slack, MS Teams, WhatsApp, website widgets, and mobile SDKs.
- Enterprise Governance & Compliance: Implement guardrails for safe responses, support for SOC2, HIPAA, GDPR-ready workflows, and data residency options.
- Plugin & Extension Ecosystem: Allow custom API/tool additions and browse a marketplace for prebuilt bots, workflows, and templates.
- Visual Workflow Builder: A drag-and-drop, Zapier-style interface for non-technical users to chain prompts, APIs, RAG, and agent flows.
- End-User Onboarding & UX Enhancements: Guided profile onboarding, assistant self-introductions, and auto-suggestions for common queries.