RejoiceHub services
Build Your AI Agent with AgentKit
Build agents with OpenAI's development tools. We scope the workflow, connect the required systems, and test the agent's responses and actions before deployment.
Scope, milestones, and responsibilities agreed before the build.
How we work
From the first question to working software
Capabilities
What we can build with you
Choose the work your project needs. We define the details and dependencies together.
Agent development
Scope, build, and test a custom agent with your team.
Models and context
Connect models to the instructions, tools, and context required for the agent's task.
Access controls
Define what the agent can read, change, and share, with permissions and review steps.
Custom Development
Build the agent around the workflow and acceptance criteria agreed with your team.
Agent instructions and evaluation
Define the agent's instructions, examples, and evaluation cases around the tasks it needs to handle.
Real-Time API and Data Integration
Connect the agent to tools and databases through REST APIs and webhooks, with explicit data access and failure handling.
Built-in Commerce and Workflow Automation
Connect sales and operational tasks through the systems and interfaces your team uses.
Multimodal AI (text, image, and voice)
Configure text, image, or voice inputs where the selected model and workflow support them.
Cloud deployment
Plan hosting, credentials, monitoring, and capacity around the intended usage.
Secure Authentication & Access Control
Define authentication, permissions, and review steps for the data and tools used by the agent.
Delivery process
From scope to launch
Review the work at each stage, with clear responsibilities for delivery and handover.
Discovery & Planning
Define automation goals and agent capabilities
Custom Design
Set up personality, workflows, and integration points
AgentKit Implementation
Tools for building and evaluating agents
Testing & Optimization
Test responses, tool calls, failures, and escalation behavior against the agreed criteria.
Launch & Support
Deploy the agent and agree monitoring, review, and support responsibilities.
Project planning
Agree the work before the build
We review the current workflow and define what the project will deliver.
What we review
The current workflow
Identify the tasks, handoffs, and exceptions that the project needs to address.
Data and system access
Review the information and integrations available, including permissions and constraints.
Delivery requirements
Agree the users, acceptance criteria, timeline, and responsibilities for operating the result.
What you receive
An agreed scope
A definition of the work, dependencies, deliverables, and estimate.
Work your team can review
Designs and working increments checked against the agreed requirements.
A plan for operation
Deployment, documentation, monitoring, and support responsibilities included in the handover.
Applications
Where the work applies
- E-Commerce
- Smart product recommendations and shopping assistants
- Finance
- Automated data analysis and reporting
- Healthcare
- AI-powered scheduling and patient support
- Education
- Virtual tutors and student assistance agents
- Real Estate
- Intelligent property search and recommendation systems
Technology
A stack that fits your systems
We choose tools around your requirements, existing systems, and operating constraints.
- AI/ML
- OpenAI
- Claude
- LangChain
- TensorFlow
- PyTorch
- Cloud
- AWS
- Google Cloud
- Database
- MongoDB
- PostgreSQL
- Framework
- React
- Node.js
- FastAPI
Scope-based engagement
Start with a defined piece of work
Start with a paid diagnostic or a fixed-scope sprint. We agree the deliverables, dependencies, and estimate before work starts.
Agreed before work starts
- Requirements and acceptance criteria
- Milestones and review points
- Documentation and handover responsibilities
FAQs
Questions about the engagement
Common questions about build your ai agent with agentkit, answered.
An AI agent builder is a no-code solution for developing and launching intelligent agents. You can use AI agents to automate business processes or engage users.
Agent Kit Builder is the quickest way to develop AI agents without any coding or technical expertise.
Yes, you can quickly build and customize your AI agents and workflows with our drag-and-drop agent builder - no coding skills needed.
With AI agents, you can automate customer support, lead generation, HR onboarding, and marketing.
Your AI agents can operate on the web, in mobile applications, in chat applications, and in business tools you already use.