Playground
Break it here.
Not in production.
Chat with any agent in the dashboard, edit its prompt mid-conversation, and watch the next reply change. Nothing to deploy between the idea and the answer.
14 days free · No credit card · Bring your own model keys
The loop
Edit, send, judge. Then do it again.
Prompt, temperature, model and tools sit beside the conversation. Change one thing, send the same question, and compare what came back.
Live prompt editor
The system prompt is a text box next to the chat. Your next message uses the version you just typed.
Prompt
Reply
Refunds within 30 days of purchase.
Two models, one question
Run the same prompt through GPT-4o and Claude side by side, then keep the answer you would be happy to ship.
GPT-4o
Within 30 days, no questions asked.
Claude
You may request a refund within 30 days.
Versions
Every saved configuration is a snapshot. When a change makes things worse, go back to the one that worked.
Retrieval check
See which documents and FAQs the agent actually read, so a right answer is not a lucky one.
What you keep
The wins do not stay in your head. They stay in the app.
Prompts, sessions and tool logs are saved to the workspace, so the next person picks up where you stopped instead of starting the guesswork again.
Prompt library
Save the prompts that perform and reuse them across agents, instead of retyping something similar from memory.
Tool inspector
Every MCP call the agent made, the arguments it chose, and exactly what came back from your system.
Prompt, then resend
Rewrite the instruction and send the same question again. The difference is on screen in seconds.
You are a refund specialist. Always cite the policy document…
Send againSession history
Test conversations are kept and searchable, so you can replay the one that went wrong in front of someone else.
What teams say
“Every time you want to add AI to your app, you end up writing a ton of code — managing API keys, handling conversation history, engineering prompts, counting tokens. And then six months later a better model comes out and you have to refactor everything. SentientOne just removes all of that.”
Pricing
Plans for every team size.
Fourteen-day trial, cancel anytime.
Starter
For developers putting the first AI feature into a product.
Start free trial1 agent · 10k requests/mo
- 1 MCP server per agent
- Knowledge — 100 credits †
- Embeddable chat widget
- Analytics · 30 requests/min
- 14-day logs & chat history
- Community support
- Streamable HTTP endpoint
- AI Workspace (team chat)
Pro
Most popularFor teams running AI in production and watching the numbers.
Start free trial5 agents · 50k requests/mo
- 2 MCP servers per agent
- Knowledge — 300 credits †
- Full tracing, cost & token analytics
- Streamable HTTP endpoint
- AI Workspace (team chat)
- Extra seats at $9/member
- 90-day logs · 50 requests/min
- Email support, 48h response
Enterprise
For organisations with compliance, scale or data-residency rules.
Talk to usUnlimited agents & requests
- Unlimited MCP servers & knowledge
- Self-hosted / single-tenant option
- Custom rate limits & log retention
- SSO and organisational support
- Security review assistance
- Dedicated SLA & onboarding
Prices in USD. Every plan includes bring-your-own model keys, the agent chat interface, and a 14-day trial. † 1 credit = 1 FAQ · 5 credits = 1 document.
Get started
Find the bad answer before a customer does.
Open an agent, ask the question you are worried about, and fix the prompt while the reply is still on screen.
- Open an agent
- Ask the hard question
- Edit the prompt
- Save the version
14 days free · No credit card required