Context-aware assistants inside a product workflow
All services
Bounded, useful agents
AI Agent Development for Real Workflows
For workflows where an AI assistant needs context, tools and permission to help with a real task, while people remain able to review important actions.
What this is for
An agent-shaped workflow with explicit context, tool boundaries and a useful path when the model is uncertain.
Context designTool useHuman review
Who it is for
A good fit when the workflow matters more than the hype.
- Founders exploring an assistant inside an existing product or process
- Teams that need an AI system to retrieve information and take bounded actions
- Operators replacing a repetitive multi-step handoff with guided assistance
Problems it can solve
- The assistant gives answers but cannot help complete the underlying task
- The model lacks reliable context or access to the right source of truth
- Tool calls and permissions are unclear when a workflow changes data
- Users need to know what the agent did, skipped or needs help with
What can be built
Enough product to make the next decision.
Scope is shaped around the primary workflow, the data it needs and the level of review the user should retain.
Retrieval and structured context for task-specific answers
Bounded tool calls for lookups, drafts, routing or record updates
Review queues, action summaries and fallback states for uncertain work
Typical scope
Clear enough to build, flexible enough to learn.
Most focused MVP engagements take approximately 2-5 weeks depending on scope, integrations and AI complexity. Every project is scoped separately.
- Agent job definition and boundaries
- Context sources, tool permissions and action rules
- Conversation, task and review interface where needed
- Test cases for common, uncertain and out-of-scope requests
Process
Define the job
Describe the task the agent supports, the user it serves and the actions it must never take.
Design the context
Choose the sources, fields and permissions that make the agent useful without overexposing data.
Connect safe actions
Add tools with clear inputs, outputs, approvals and visible action history.
Test the edges
Review representative requests and create a sensible path for uncertainty or failure.
Relevant proof
See the product decisions in context.
Keep exploring
Useful thinking before a build.
Next step
Bring the idea, the workflow or the bottleneck.
Start with a free MVP scope review if you want help deciding what the first useful version should contain.