Service
Build products that can do the work — not just answer questions.
We design and ship agentic applications: multi-step agents that use tools, memory, and guardrails to complete jobs inside your product.
Agentic Application Development
What this engagement is for
Chat is not an agent. We build applications where AI can plan a task, call the right tools, check its own work, and hand back a result a person can trust. That means orchestration, permissions, evaluation, and a UI that shows what the agent did — not a prompt box with no accountability.
- Best for
- Teams that need AI to complete workflows — research, operations, support, or internal tools — not just generate text.
- Typical timeline
- 6–12 weeks for a first production agent loop
Autonomous agents coordinating around a product task
Outcomes
What you leave with
We measure the work by the product decisions and assets you can use next — not by a slide deck.
- 01
A defined agent job with tools, permissions, and success criteria
- 02
Multi-step planning and tool use inside the product
- 03
Human-in-the-loop controls where the work is high-stakes
- 04
Logging, evaluation, and a path to improve the agent over time
How we work
A short path from conversation to something real.
- 1
Define the job
We pick one workflow the agent should finish end-to-end, including what it must never do.
- 2
Give it tools
We connect APIs, data, and actions — then wrap them with permissions, retries, and checks.
- 3
Ship the loop
The agent runs in the product with a visible trail, so people can trust, correct, and improve it.
Deliverables
What we produce
- Agent architecture, tool set, and memory design
- Orchestration and safety / permission layer
- In-product agent UI and activity trail
- Evaluation set, traces, and monitoring
Questions
Before you start
A chatbot replies. An agent plans, uses tools, and completes a job. We build the loop, the permissions, and the UI around that work.
Yes. We can add an agent layer to a live app — with tools, audit trails, and a focused interface — without a rewrite.
Related
Services teams often combine
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