No-code agent creation
Create an agent with a system prompt, selected model, and optional template without writing application code.
Flexaura
Flexaura is a no-code platform for building AI agents grounded in uploaded documents and URLs. It helps support and operations teams deploy agents across web chat, SMS, WhatsApp, email, and voice, with model selection and usage monitoring.
Overview
Flexaura is a no-code platform for building and deploying AI agents for customer conversations. Users create an agent with a system prompt and selected model, add source material from files or URLs, and publish it to supported messaging and communication channels.
The platform is designed to ground responses in a customer's own knowledge base rather than requiring manual retrieval infrastructure. It also provides model selection, channel deployment, and operational visibility into token usage, cost, and latency. The site identifies guardrails and human handoff as platform capabilities, although it does not provide detailed behavior for either in the available content.
AI agent platform features
Knowledge-base retrieval
Upload PDFs, DOCX, TXT, or Markdown files, or paste URLs. Flexaura chunks, embeds, indexes, and retrieves the content automatically, with indexing status shown in the interface.
Multichannel deployment
Deploy one agent across web chat, SMS, WhatsApp, email, and natural-sounding voice, avoiding separate channel-specific builds.
Model choice and BYOK
Choose among OpenAI, Anthropic, Google, and Groq models, switch models in one click, or use provider accounts through bring-your-own-key support.
Usage and cost observability
Monitor token usage, costs, latency, and per-conversation cost breakdowns in real time, with the option to export data to an external warehouse.
Guardrails and human handoff
The product description identifies guardrails and human handoff as part of the platform, while the homepage provides no further operational detail about how those controls work.
Practical use cases
Website customer support
A support team can upload product documentation, return policies, and help-center URLs so an agent can answer customer questions from those materials in web chat.
Cross-channel customer communications
A business can reuse one agent across SMS, WhatsApp, and email to handle inbound questions without maintaining separate channel-specific agents.
Model and cost management
Teams can select a model, connect their own provider keys, and inspect token usage, latency, and conversation costs while operating customer-facing agents.
Voice interactions
Organizations can deploy a voice-based agent for conversational interactions, using the same general agent setup as other supported channels.
Pros and Cons
Pros
- No-code workflow covering agent creation, knowledge ingestion, and deployment.
- Supports knowledge sources including PDFs, DOCX, TXT, Markdown files, and URLs.
- Deploys agents across web chat, SMS, WhatsApp, email, and voice.
- Offers model choice across OpenAI, Anthropic, Google, and Groq, plus bring-your-own-key support.
- Provides real-time visibility into usage, cost, latency, and conversation-level costs.
Cons
- Detailed behavior and configuration options for guardrails and human handoff are not specified on the available product pages.
- The free plan is limited to web chat, while multichannel deployment is listed on paid plans.
- The available content does not explain channel-specific setup requirements or voice and external-system limitations.
FAQ
How do you set up a Flexaura agent?
Create an agent by naming it, writing a system prompt, choosing a model, and optionally starting from a template. Add knowledge by uploading PDFs, DOCX, TXT, or Markdown files, or by pasting URLs; Flexaura indexes the content before deployment.
Which channels can Flexaura agents use?
Yes. Flexaura supports web chat, SMS, WhatsApp, email, and voice deployment. The site says web chat can be embedded with one snippet, while the other channels can be connected from the platform.
Which AI models does Flexaura support?
Flexaura supports OpenAI, Anthropic, Google, and Groq models. Users can switch models and can bring their own API keys, paying the model provider directly.
What knowledge sources can an agent use?
The knowledge workflow accepts PDFs, DOCX, TXT, Markdown files, and URLs. Flexaura automatically chunks, embeds, and retrieves the indexed content, and the site states that answers cite the user's own content.
What plans does Flexaura offer?
The published plans include a free tier with one agent and 500 messages per month for web chat, a Pro plan with five agents and 10,000 messages per month across all channels, and a Team plan with 25 agents and 100,000 messages per month across all channels. The free tier does not require a credit card; paid plan trials are offered on the pricing section.
Quick Facts
- Category
- AI agent platform
- Setup
- No-code, three-step workflow
- Knowledge inputs
- PDF, DOCX, TXT, Markdown, and URLs
- Deployment channels
- Web chat, SMS, WhatsApp, email, and voice
- Free plan
- 1 agent, 500 messages per month, web chat only
- Paid plans
- Pro and Team plans with trials listed on the pricing section
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