No-code agent setup
A guided wizard lets users name an agent, write a system prompt, choose a model, and configure personality, knowledge, and channels without writing code. Templates are available as a starting point.
Flexaura is a no-code platform for building AI agents that use a business’s knowledge base, apply conversation guardrails, and hand off chats to human teammates. Agents can be deployed on web chat and email, with SMS, WhatsApp, and voice available through provisioning.
Flexaura is a no-code platform for building conversational AI agents around a company’s own knowledge base. Users configure an agent, add documents or URLs for retrieval, choose a model, and deploy the result through web chat or other supported channels. The product is focused on customer support workflows where answers should be grounded in source content rather than generated without context.
Its core workflow combines automated knowledge retrieval with conversation guardrails and human handoff. Flexaura checks messages before and after model responses for policy violations, and a teammate can take over a conversation in real time when the agent cannot appropriately resolve it. The platform also provides usage, cost, and latency visibility for operating the agent.
A guided wizard lets users name an agent, write a system prompt, choose a model, and configure personality, knowledge, and channels without writing code. Templates are available as a starting point.
Users can upload PDF, DOCX, TXT, and Markdown files or paste URLs. Flexaura automatically chunks, embeds, and indexes the material for retrieval, with live indexing status and answers that cite connected content.
Agents can be embedded on a website with one snippet and configured for web chat and email. The site also identifies SMS, WhatsApp, and voice as available through provisioning, while the free plan supports web chat only.
The platform supports model choices from OpenAI, Anthropic, Google, and Groq. Users can switch models and bring their own provider API keys to pay the model provider directly.
Conversations are checked for policy violations before and after the model responds. Any conversation can be handed to a real teammate in real time and returned to the agent afterward.
Flexaura shows token usage, latency, live cost, and per-conversation cost breakdowns, and supports exporting data to a team’s own warehouse.
Embed an agent on a company website so visitors can ask questions answered from product guides, policies, FAQs, and other uploaded content.
Use the same configured agent for email conversations, keeping the selected persona and knowledge base consistent beyond the website chat interface.
Let the agent handle routine requests while giving support staff a real-time handoff path for conversations that require judgment, personal attention, or a response outside the connected knowledge.
Configure an agent once and extend the workflow across web chat, email, and provisioned SMS, WhatsApp, or voice channels instead of rebuilding a separate bot for each channel.
Review token consumption, latency, and conversation-level costs when evaluating agent performance or managing usage across a support operation.
No. Flexaura describes its setup as a no-code guided wizard for configuring an agent’s prompt, personality, knowledge base, model, and channels.
The site lists PDF, DOCX, TXT, and Markdown files, along with URLs. Flexaura indexes the supplied content for retrieval and can cite the connected material in answers.
Web chat and email are identified as supported channels. The site also lists SMS, WhatsApp, and voice as built and awaiting provisioning; the free plan is web-chat-only.
Yes. Any conversation can be handed off to a real teammate in real time, and handed back to the agent afterward.
Yes. Flexaura supports bring-your-own keys and lists model options from OpenAI, Anthropic, Google, and Groq.
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