Flutch
Custom AI agent development with observability and quality control
What is Flutch? Complete Overview
Flutch is a platform designed to help developers and teams build, test, and deploy AI agents with confidence. It provides comprehensive observability and quality control tools to ensure that AI workflows are efficient, cost-effective, and reliable. The platform is framework-agnostic, allowing users to work with their preferred tools and stacks while benefiting from Flutch's managed infrastructure. Key features include acceptance testing, cost control, detailed analytics, and multi-channel deployment options. Flutch is ideal for developers, product teams, and businesses looking to integrate AI into their workflows without the hassle of managing infrastructure or worrying about quality drift.
Flutch Interface & Screenshots
Flutch Official screenshot of the tool interface
What Can Flutch Do? Key Features
Quality & Testing
Flutch allows you to define criteria such as accuracy, completeness, style, and safety for your AI agents. You can run acceptance tests on example sets and see detailed tracing of which tools were called and why the agent made specific decisions. A/B experiments compare different versions of your agents by metrics, and product and business analytics show how responses affect NPS and conversion. Graph configurations are versioned to prevent quality drift after updates.
Cost Control
With Flutch, you can see the cost per response before and after optimizations, set limits on agents and users, and disable expensive scenarios. Detailed billing breaks down costs by models, tools, and request types, giving you transparent control over every dollar spent.
Developer Experience
Flutch is built for developers, offering a simple integration process via the Flutch CLI. You can work in your preferred stack while Flutch handles observability and quality. Debugging is transparent, with steps, inputs/outputs, cost, and time per node all visible. The platform manages infrastructure, so you can focus on writing logic rather than deploy scripts.
Managed Infrastructure
Flutch agents can be deployed across multiple channels, including Telegram, Slack, web, and API. Service agents can trigger on webhooks and schedules. Each agent comes with a chat interface and public landing page, making it easy to demo and train. Access and roles are managed from an admin panel.
Security
Flutch offers robust security options, including on-premise deployment with Helm charts for self-deployment. All data remains under your control, with log auditing, stability monitoring in Grafana/Loki, and a basic RBAC system.
Best Flutch Use Cases & Applications
Solo Developer (MVP)
A developer building an MVP support chatbot using a pre-built template. Testing with a small group of 10 users. Uploaded 500 MB of company documentation. Averaging 60 agent requests per day. Fits within the Developer plan ($29), which includes 3,000 calls and 1 GB storage.
Product Team
A team of 8 people building a SaaS product. Created a custom support agent with Intercom integration and a knowledge base from documentation. The agent handles ~300 requests per day from test users and the team. Uses the Team plan ($79) plus a medium pod for hosting, totaling $96 per month.
SaaS Company with Monetization
A SaaS platform with 5,000 active users runs 2 types of agents: a simple FAQ bot and a complex analytics agent. Averaging 50,000 requests per day. Uses the Business plan ($149) plus overage costs and graph hosting, totaling $12,034 per month.
How to Use Flutch: Step-by-Step Guide
Sign up for a Flutch account and choose a plan that fits your needs. The Free plan is great for personal projects, while the Developer, Team, and Business plans offer more features for larger teams and enterprises.
Connect your AI graph via the Flutch CLI. This will automatically enable quality and observability tools for your workflow.
Define acceptance criteria for your AI agent, such as accuracy, completeness, and style. Run acceptance tests on example sets to ensure your agent meets these criteria.
Monitor and optimize costs using Flutch's detailed billing and cost control features. Set limits on agents and users to stay within budget.
Deploy your AI agent across multiple channels, such as Telegram, Slack, web, or API. Use the chat interface and landing page to demo and train your agent.
Continuously monitor performance and quality using Flutch's analytics and A/B testing tools. Make adjustments as needed to improve your agent's effectiveness.
Flutch Pros and Cons: Honest Review
Pros
Considerations
Is Flutch Worth It? FAQ & Reviews
The Free plan includes 500 Agent calls, 500 MB storage, 1,000 Knowledge base searches, and a $5 services grant. It's ideal for personal projects and experiments.
Yes, all plans include API access. The rate limits and features vary depending on the plan you choose.
Yes, Flutch offers on-premise deployment options with Helm charts for self-deployment. All data remains under your control with log auditing and stability monitoring.
Flutch provides detailed billing that breaks down costs by models, tools, and request types. You can set limits on agents and users to control costs in real-time.
Flutch agents can be deployed to Telegram, Slack, web, and API. Each agent comes with a chat interface and public landing page for easy demo and training.