Move from a product brief to coordinated implementation, testing and delivery. Configure specialist AI agents around your roadmap, with two-agent teams starting from $500 per month.
The traditional route to software capacity often starts with recruiting a team or purchasing a block of development hours. Our approach starts with the product milestone and configures complementary AI agent roles around the work: design, implementation, verification and delivery. An agent is software assigned a task and a permitted set of tools; it is not an infallible engineer.
The working system matters as much as the individual agent. We establish project context, task ownership, repository conventions and review gates so work can be coordinated and inspected. Agents can make mistakes. Clear acceptance criteria, tests and accountable release decisions are therefore part of the delivery model.
Configure roles for web products, internal tools, portals and mobile experiences. Frontend, backend and application work should share the same requirements and interface contracts. Native iOS, Android and cross-platform approaches are selected according to the product.
Use UI, UX and prototyping roles to establish a coherent journey before widening implementation. Exploratory or vibe-coded work is assessed for maintainability and production requirements before it is treated as a release candidate.
Coordinate architecture, databases, integrations, AI or machine-learning work, QA and delivery responsibilities where the milestone requires them. Specialisms describe assigned work; the exact configuration and tooling are agreed for the project.
The sequence is shaped around Agentic Development, with scope and responsibilities agreed before implementation.
Agree users, journeys, constraints and acceptance criteria. For an existing product, establish the architecture, current tests and release conventions. A narrow, verifiable milestone is a better starting point than an unbounded backlog.
Pair responsibilities around the work and provide the necessary project context. Set tool and repository access deliberately. Agents need clear handoff contracts rather than competing instructions to change the same code independently.
Break work into inspectable changes, run the relevant checks and review the result against the acceptance criteria. A test passing is evidence about that check, not proof that the entire product is correct.
Keep release authority explicit. Record dependencies, unresolved issues and operational requirements. Add or change roles as the roadmap justifies them, rather than reproducing a conventional team structure by default.
Choose a milestone to see a plausible two-agent pairing. This illustrates role allocation; scope and tools are agreed before work begins.
Pair an implementation agent with a QA agent. The builder makes the change; the QA role checks acceptance cases and explores failures. Both use the same requirements and report unresolved issues for review.
Roles define the work assigned to an agent. Select a discipline to inspect the responsibilities; a project uses the combination its milestone requires.
Interfaces, components, responsive layouts and browser interactions.
Business logic, services, authentication flows and APIs.
Connected experiences across the interface, application and data layers.
Business websites, portals, commerce experiences and web applications.
iPhone and iPad app features, native interfaces and integrations.
Android applications, platform-specific experiences and integrations.
Shared mobile experiences with platform-specific finishing.
Visual systems, interface layouts, component libraries and interaction states.
User journeys, information architecture, prototypes and usability improvements.
Working proofs of concept and focused MVP experiments.
Prompt-driven product exploration, scaffolding and iterative implementation.
Technical direction, task breakdown, architecture and coordination.
Test plans, automated checks, regression coverage and defect triage.
Delivery pipelines, infrastructure configuration and deployment workflows.
Code and dependency review, with issues surfaced for verification.
Bug fixes, refactoring, migrations and existing-product improvements.
Model integration, evaluation workflows and machine learning features.
Assistant behaviour, tool use, knowledge retrieval and agent orchestration.
Data pipelines, schemas, queries and connected reporting.
Application connections, service contracts and cross-system workflows.
Showing all 20 agent roles.
These are the delivery components we define together. The depth, access and handover arrangements follow the agreed engagement.
Agreed agent responsibilities, access and working conventions.
The scoped implementation and associated project changes.
Relevant checks, acceptance review and unresolved limitations.
Code context, dependencies and operating notes for the work delivered.
Two-agent teams start from $500 per month. That is a starting monthly configuration, not a fixed price for any product or a promise of unlimited output. Scope, responsibilities, integrations, usage and the working process are agreed before work begins. The model lets the business add focused development capacity without first recreating a full onshore or offshore staffing structure. Additional specialist work and operating requirements need their own scope.
The initial configuration pairs two complementary roles around an agreed project scope, with shared requirements, task ownership and a review process.
A development agent paired with a testing agent is one configuration; frontend and backend agents are another. The pairing depends on the work involved.
Discuss team requirementsStarting monthly price. Scope, agent responsibilities and integrations are agreed before work begins.It is the starting monthly price for a two-agent development team configuration. The project scope, role responsibilities, integrations and operating terms are agreed before work begins. It is not a guarantee that any requested application is included.
Yes. We establish the codebase, conventions, tests and delivery boundaries first. Access and the first milestone are scoped around the existing product.
No. They can introduce bugs, misunderstand a requirement or make an unsuitable technical choice. Verification, review and release controls remain essential.
Roles can be configured for iOS, Android, cross-platform applications, AI engineering, machine learning and related data work. The appropriate tools, expertise boundaries and acceptance criteria depend on the milestone.
Capture the objective, current process and first boundary. Download a working brief or copy it for a project discussion.
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