AI agent development

AI agents with a job to do.

Build agents that work with your data and tools, with boundaries, evaluations, and approval steps for consequential actions.

Talk through your project

Understand what you have.

We map the code, data, integrations, and critical user journeys. You get a clear picture of what to keep and what needs work.

  • Architecture review
  • Dependency inventory
  • Prioritized delivery plan
Your applicationLovable · Replit · Claude Code
MindCore engineering
Your AWS environmentBuilt around your workload
Access controls
Release pipeline
Your application, understood
Good engineering connects every step.

What we help you build

Build agents that work with your data and tools, with boundaries, evaluations, and approval steps for consequential actions.

What an engagement includes

  • Use-case and risk definition
  • Tool integration and orchestration
  • Evaluation datasets and guardrails
  • Monitoring and iteration

Start with a clear technical plan

We review your goals, existing code, integrations, and constraints before proposing a scope. You receive a prioritized plan, delivery milestones, and the tradeoffs behind our recommendations. The right solution may improve your existing setup rather than require a full rebuild.

Questions, answered.

Do we need to rebuild everything?

Not necessarily. We first assess what is working and what needs attention. We recommend retaining useful code and replacing only the parts that cannot meet the agreed requirements.

How much will the project cost?

Cost depends on scope, integrations, existing code quality, and operational needs. After an initial conversation and technical assessment, we share a scoped proposal with milestones.

Will we own the code and infrastructure?

We plan handover around your repositories and cloud accounts, with documentation for deployment and operations. Ownership and access are agreed in the project contract.