Agentic systems
AI Agent Development
Reliable LangGraph agents with tool calling, state, human review and integrations into the systems your team already runs.
Agents that loop, hallucinate tool calls or act without oversight are a liability. We design bounded, observable agents with clear state machines and human checkpoints.
What you get
- Task-specific agents with typed tools and guardrails
- Durable state, retries and human-in-the-loop approvals
- Integrations with CRMs, ticketing, databases and internal APIs
- Tracing and cost limits per run
Deliverables
- LangGraph workflow definitions with tests for every branch
- Tool layer with input validation and permission checks
- Review UI or Slack/email approvals where a human must sign off
- Run logs, traces and evaluation reports
Stack we use
Want to learn it instead? Agentic AI Engineering with LangGraph
From requirements to production
- 01Requirements
A discovery call, then a written scope with acceptance criteria and a realistic estimate.
- 02Design
Architecture, data model and API contracts agreed before code is written.
- 03Build
Short iterations with demos; code reviewed, typed and documented as we go.
- 04Test
Unit, integration and end-to-end tests; QA passes against the acceptance criteria.
- 05Deploy
Docker, CI/CD and cloud setup with monitoring, then a production handover.
- 06Support
Production bug fixing, performance tuning and improvements after launch.
Ways to work together
Fixed-scope project
A written scope, milestones and a fixed price. Best for a defined feature, integration, migration or redesign.
Monthly retainer
Reserved engineering hours every month for ongoing development, maintenance and production support.
Hourly & advisory
Architecture reviews, code reviews, pairing sessions and second opinions, billed by the hour.
Recent work
W3Colleges: a full redesign that kept every URL
This site is our own case study: a new design system, article reader, listing pages, search, login, hub pages and a CI/CD pipeline, delivered as a child theme without touching WordPress core, while 400+ articles, their URLs and SEO metadata stayed intact.
Questions
Which use cases fit agents well?
Multi-step research, document processing, support triage, data enrichment and internal automations with clear tools and stop conditions.
How do you keep agents safe?
Allow-listed tools, budgets per run, schema-validated inputs, human approval on irreversible actions and full traces.
Start a project
Tell us what you are building.
Share the goal, the current state and your timeline. You get a written reply with questions, a suggested approach and an estimate — no sales call required.