Tech
Software development agent
Coding agents write code, but shipping software takes more than that. We built a system that plans, implements, tests, and reviews, with engineers still owning what ships.
How we work
Forward-deployed engineers, embedded with you
Our engineers work inside your business, next to the people doing the work. They map the process, design the system, and integrate your existing tools and data. Then we help you go further, identifying the next opportunity and elevating your team.
The engagement model
How an engagement runs
Plan
Get close to the work.
01
We embed to observe and understand your workflow, then pair with you to define goals and design solutions for the most impact.
Build
Develop agentic solutions
02
Design and implement the system alongside the people closest to the work.
Launch
Deliver radical results
03
Deploy into production, apply guardrails, and measure what changed to make the next iteration better.
Scale
Keep building from the first win.
04
Improve the system and expand your vision. Carry it forward by building with us or adding talent through our hiring platform.
Expert Builders
Build with us or create your own team
01
Embedded services
We deploy, build, and operate alongside you
A Terminal team of forward-deployed and AI engineers embed to build systems alongside you. Best for companies that want an experienced technical partner driving execution.
- Dedicated deployment leadership
- Forward-deployed and AI engineers
- Continuous workflow discovery
- Ongoing operation and improvement
- Direct collaboration with executives and operators
02
Hire talent
Build your team to carry it forward
Terminal scopes and ships the first system, then hires your dedicated team to keep building. Best for companies building permanent AI capability in-house.
- Production system development
- Documentation and knowledge transfer
- Internal team training
- Transition and handoff support
- Hiring help for the engineers who will own it
Agent library
See what production systems look like.
The Agent Library documents systems Terminal has built and field-tested: the workflow, the architecture, the evaluation methods, and what broke along the way. Every entry ships in three views — business for operators, technical for engineers, markdown for your agents.
FAQ
Can Terminal help us hire an internal AI team?
Yes. We’ve hired thousands of engineers for hundreds of the fastest-growing companies.
Terminal’s tech hiring expertise is unmatched and your deployment gives us a much clearer picture of the talent you actually need.
Instead of hiring against a generic “AI engineer” job description, we can hire against the architecture, systems, operating environment, and technical problems your team will need to own.
Terminal can hire engineers, support knowledge transfer, and help build the technical capacity to expand what works.
How is Terminal AI different from a consultancy?
Terminal AI is built around execution. Our Forward-deployed engineers embed with your team, build inside your systems, alongside the people who own the work. We don’t just identify where agents can create leverage, we build with you and help your hire the talent you need to carry it forward.
With Terminal AI, the strategy remains connected to engineering, deployment, and measurable outcomes.
Who builds the systems?
Deeply skilled AI experts.
Terminal teams can include deployment leads, forward-deployed engineers, AI and data engineers, and platform engineers working directly with your technical teams and operators.
They're expected to move between business process and technical architecture—from understanding how the work gets done to models, data, integrations, evals, infrastructure, and production.
Who owns what Terminal builds?
Your company does.
Terminal can continue supporting and operating a system, transfer ownership to your existing team, or help you hire the technical team that takes it forward.
The goal is durable capability inside the business—not permanent dependency on Terminal.
What does the first engagement look like?
It starts with the business and your most painful work.
We look at your priorities, current AI efforts, and the most painful workflows where more intelligence, automation, or capacity could make material changes.
From there, we identify the right place to start across deployment, training, or talent—and define a focused path forward.
Do we need to begin with training?
No. Start where the constraint is.
If your teams need stronger practical AI fluency, start with training. If you already know where you want to create leverage, put engineers against the problem. If technical capacity is the bottleneck, start with hiring talent.
Often, those needs overlap. Our training combines practical training and role-specific playbooks, powered by experts and an interactive platform.