The first interaction with Brewyard is deliberately simple: you describe the software you want to build.
That simplicity can also make the product sound more magical than it is.
A paragraph does not become reliable software because an AI model reads it. The useful work begins after the brief arrives: understanding what it means, finding what is missing, assembling the right responsibilities, making decisions visible, coordinating implementation and reviewing the result.
This is a concrete walkthrough of that process.
Start with a real brief
Imagine a founder enters the following:
Build a customer feedback tool for small service businesses. Customers should be able to leave a rating and an optional comment through a mobile-friendly page. Staff need a private dashboard to filter feedback by date and rating. The first release should be simple to operate and inexpensive to run.
It is a reasonable brief. It is also incomplete.
It does not say:
- whether customers are anonymous;
- whether a business can have several staff users;
- whether comments can be edited or deleted;
- whether feedback needs moderation;
- whether businesses need exports;
- what "inexpensive" means;
- what level of authentication is appropriate;
- which deployment environment is expected.
A weak system silently fills every gap and presents the assumptions as if they were requirements.
A useful software team identifies which gaps can be handled as reversible implementation choices and which ones change the product enough to require a human answer.
1. The brief is interpreted before work is divided
Brewyard does not begin by asking the user to choose a list of agents.
The brief first reaches the leadership layer inside TeamForge. Its job is to understand the shape of the work and decide what responsibilities the project needs.
Before any of that becomes work, the team asks. There is a fixed set of kickoff questions: the outcome the work is for, who it is for, what form the deliverable should take, how you will judge it finished, what is out of scope, the inputs it must use, the constraints that apply, the deadline, and which steps must not be taken without your say-so.
Whatever the brief already answers is cited back from the brief rather than asked again, and the team stays stopped until the rest are settled.
That is a deliberate interruption, and it is at the start on purpose. An assumption made here is inherited by every role downstream, and this is the cheapest moment to correct it.
For this example, the team might include:
- a project manager to organise the work;
- a business analyst to clarify behaviour and acceptance criteria;
- a technical lead to define the implementation direction;
- a UX/UI role for the public form and private dashboard;
- frontend and backend development roles;
- QA to test the result against the agreed behaviour;
- DevOps only if the requested outcome includes deployment work.
A different brief should produce a different structure.
A data migration, mobile prototype, internal approval tool and regulated payment product should not receive the same fixed roster merely because all four are "software".
That is the first important distinction: the work determines the team.
2. Responsibilities and authority are established
Creating role names is easy. Making them work together is the real problem.
The project manager needs to know which workstreams can proceed in parallel and which depend on earlier decisions.
The business analyst needs authority to identify ambiguity and propose acceptance criteria, but not to invent a new commercial model.
The technical lead can usually choose a local code structure, but a decision that materially changes cost, security or hosting should be visible and may require approval.
QA needs to review against agreed requirements, not against whatever the implementation happened to become.
Brewyard's orchestration model connects responsibilities to delegation and review. That means a task has an owner, a destination and a route back when the result is not ready.
3. Questions and assumptions are separated
Not every missing detail deserves an interruption.
Suppose the brief does not specify the empty-state wording for a dashboard. The team can choose sensible placeholder copy, record it and continue.
Suppose the brief does not specify whether customer comments may contain personal data. That affects privacy, retention and moderation. The team should not quietly decide that on the user's behalf.
A useful interaction might therefore return a small decision request:
Decision needed:
Should feedback be anonymous, or should the customer provide an email address?
Why it matters:
This changes the data model, privacy notice, retention requirements and
whether staff can follow up directly.
Recommendation for the first release:
Allow anonymous feedback and make contact details out of scope.
The user is not asked to manage the entire workflow. They are asked when their judgement changes the product.
Assumptions that do not need immediate approval should still remain visible. If an assumption later proves wrong, the project can identify what depended on it instead of rediscovering the decision from scattered conversations.
4. The work is decomposed and delegated
Once the first product boundaries are clear, work can be divided.
For example:
Business analysis
- define the primary user journeys;
- write acceptance criteria;
- identify out-of-scope behaviour;
- record open questions.
Technical leadership
- propose the application shape;
- define the API contract;
- choose the data model;
- identify security and operational constraints;
- record architecture decisions and alternatives.
UX/UI
- define the feedback flow;
- define dashboard states;
- account for mobile use and accessibility;
- hand interface expectations to frontend development.
Development
- implement the agreed slices;
- keep code aligned with the recorded decisions;
- expose working outputs for review.
QA
- test behaviour against acceptance criteria;
- report gaps to the responsible role;
- distinguish a defect from an unresolved product decision.
The point is not to imitate an org chart for its own sake. The hierarchy gives the work a path.
In TeamForge Mission Control, the user can see that path: who has work, where it came from, what it produced and where it goes next.
See TeamForge Mission Control.
5. Work can proceed in parallel — within agreed boundaries
A good team does not turn every dependency into a queue.
Once the technical lead and business analyst agree on a stable interface, frontend work can begin against that contract while backend work continues.
QA can prepare test scenarios from acceptance criteria before the final implementation arrives.
UX can refine states that do not depend on an unresolved commercial decision.
Parallel work is useful only when the shared context is stable enough to prevent each role from building a different product.
Orchestration therefore has two responsibilities that pull in opposite directions:
- allow independent work where the boundaries are clear;
- stop and reconnect the work when a decision changes those boundaries.
6. Review is part of the workflow, not an afterthought
A first implementation may look convincing and still be wrong.
Perhaps the API accepts a rating outside the agreed range.
Perhaps the dashboard exposes comments before staff authentication is checked.
Perhaps the mobile form technically works but the submit state is inaccessible.
Perhaps the tests only verify happy paths because the original developer generated them from the implementation rather than from the acceptance criteria.
In a coordinated workflow, QA does not merely produce a report at the end. The failure goes back to the role that owns the work, with the relevant requirement and context.
The result may be:
- an implementation correction;
- a revised test;
- a clarified requirement;
- a recorded architecture decision;
- a human question because the intended behaviour is genuinely unclear.
That loop is a core part of software delivery. Producing more code is not a substitute for it.
7. The user receives inspectable deliverables
The exact outputs depend on the brief and on how far the session is intended to go.
For the example project, deliverables could include:
- a refined product brief;
- user journeys and acceptance criteria;
- assumptions and open decisions;
- an architecture outline;
- API and data-model decisions;
- UX notes;
- implementation files;
- automated tests;
- QA findings;
- deployment or operational notes.
The important word is inspectable.
Useful work should not be trapped in the private memory of one conversation. The user should be able to open it, understand where it came from and decide what happens next.
Brewyard is not asking the user to trust an invisible process simply because it contains several agents.
8. Spend remains part of the project view
Every model call has a cost, even when the interface hides it.
Brewyard's BYOK model keeps model usage on the user's provider account, while Mission Control keeps the project-level spend and limits visible alongside the work.
Today that provider is Anthropic: the current private beta runs on Claude with your own API key. OpenAI and Gemini BYOK support is in development.
That changes the question from:
How many messages did I send?
to:
What did this project consume, which work created that cost, and should it continue?
A team that can delegate work must also know when the work is approaching the boundary the user set.
What remains with the human
The user still owns the important product decisions.
They decide what problem is worth solving, which trade-offs are acceptable, what risk is appropriate and whether an output is ready to move forward.
Brewyard is designed to reduce manual coordination, not to disguise judgement as automation.
The ideal experience is not constant interruption. It is selective escalation: routine, reversible work continues; consequential decisions arrive with enough context to answer well.
What this process is not
It is not a guarantee that one paragraph becomes a complete production application.
It is not a replacement for validation with real users.
It is not evidence that an output is correct merely because several agents participated.
It is not appropriate to give an AI team secrets, production data or irreversible external access without explicit controls.
It is a structured way to move from an initial software brief toward reviewable project work — while keeping the team, decisions, outputs and spend visible.
The first useful test
The first useful test of Brewyard is not whether it can produce an attractive demo from a carefully prepared prompt.
It is whether it can remain coherent when the brief is incomplete, a requirement changes, an implementation fails and a human decision is genuinely needed.
That is why the private beta is being opened to real projects.