Black Box Factory is Naevum's custom AI delivery service for leaders with one operating problem, so that a separate reviewer checks the system before their team runs it.
Turn the desired workflow into responsibilities, interfaces and inspectable acceptance conditions.
User workflow, constraints and desired outcome.
Turn the desired workflow into responsibilities, interfaces and inspectable acceptance conditions.
Objective, scope, ceiling, expiry and confirmed plan revision.
Task interfaces and acceptance basis.
The confirmed scope, acceptance basis and execution ceiling constrain the work.
Bind one eligible attempt to its source and finite capacity.
Confirmation bound to the exact proposed mandate.
Identified task and source/acceptance basis.
Accounting reservation retaining review capacity.
Retained task and next decision after uncertainty is resolved.
Bind one eligible attempt to its source and finite capacity.
Attempt, project, base and policy identity.
Separate implementation and challenge capacity; reservation is not permission.
Capacity reservation and permission are separate prerequisites.
Transform the task into an artifact and correct identified defects.
One admitted bounded implementation attempt.
Source-bound unresolved finding; correction creates a new candidate.
Transform the task into an artifact and correct identified defects.
Exact source candidate and artifact.
Each correction produces a new candidate identity.
A correction creates an identifiable new candidate for examination.
Review and QA examine the same candidate through separate responsibilities.
Exact candidate and artifact for independent examination.
Review and QA examine the same candidate through separate responsibilities.
Reviewer findings for the candidate.
Executed acceptance cases and required-check evidence.
Independent review and QA must address the same source candidate.
Join candidate, current base, policy, checks and independent verdicts.
Separate verdict and required-check records for one candidate.
Current integration base and project policy.
Join candidate, current base, policy, checks and independent verdicts.
Candidate/base/policy identities.
Missing, failed and stale evidence remain distinct.
Missing, failed or stale evidence prevents acceptance.
Preserve artifacts, unresolved work and original uncertain attempts for the next operator.
Observed attempt result or retained uncertainty.
Source/artifact/check packet with remaining delivery decision.
Attributed evidence about the original uncertain attempt.
Preserve artifacts, unresolved work and original uncertain attempts for the next operator.
Objective, source, findings and next decision.
Original attempt observations; no replacement while uncertain.
An uncertain attempt is reconciled under its original identity before any replacement is considered.
User workflow, constraints and desired outcome.
Turn the desired workflow into responsibilities, interfaces and inspectable acceptance conditions.
Objective, scope, ceiling, expiry and confirmed plan revision.
Task interfaces and acceptance basis.
The confirmed scope, acceptance basis and execution ceiling constrain the work.
Confirmation bound to the exact proposed mandate.
Identified task and source/acceptance basis.
Accounting reservation retaining review capacity.
Retained task and next decision after uncertainty is resolved.
Bind one eligible attempt to its source and finite capacity.
Attempt, project, base and policy identity.
Separate implementation and challenge capacity; reservation is not permission.
Capacity reservation and permission are separate prerequisites.
One admitted bounded implementation attempt.
Source-bound unresolved finding; correction creates a new candidate.
Transform the task into an artifact and correct identified defects.
Exact source candidate and artifact.
Each correction produces a new candidate identity.
A correction creates an identifiable new candidate for examination.
Exact candidate and artifact for independent examination.
Review and QA examine the same candidate through separate responsibilities.
Reviewer findings for the candidate.
Executed acceptance cases and required-check evidence.
Independent review and QA must address the same source candidate.
Separate verdict and required-check records for one candidate.
Current integration base and project policy.
Join candidate, current base, policy, checks and independent verdicts.
Candidate/base/policy identities.
Missing, failed and stale evidence remain distinct.
Missing, failed or stale evidence prevents acceptance.
Observed attempt result or retained uncertainty.
Source/artifact/check packet with remaining delivery decision.
Attributed evidence about the original uncertain attempt.
Preserve artifacts, unresolved work and original uncertain attempts for the next operator.
Objective, source, findings and next decision.
Original attempt observations; no replacement while uncertain.
An uncertain attempt is reconciled under its original identity before any replacement is considered.
An illustrative development process from bounded brief through candidate review and handover.
Additional mechanisms are described in the technical reference.
An identified build moves from a declared brief through implementation, independent review and QA. Acceptance joins the current source with its evidence; handover retains the result and unresolved work.
State the purpose and acceptance conditions in a source-bound mandate.
Create a bounded implementation attempt against that mandate.
Independent review and QA examine the identified candidate. Corrections produce a new source version for another review.
Bind an accepted change to its exact source, review evidence and intended environment.
From an important problem to a system you can run.
Discuss a system to buildA useful AI prototype still has to work with the business’s data, interfaces and operating responsibilities. The commissioning team needs a clear path from that brief to software it can examine and run.
Bring Black Box a bounded workflow that crosses those responsibilities. Start with its intended user journey and the conditions that would make the delivered result acceptable; the mandate, architecture and independently examined artifact carry that intent into handover.
Define the work, operating boundaries and outcomes that acceptance must examine.
Choose components, data contracts and integration points appropriate to the problem.
Bind the built software, review findings and QA evidence to an exact source and intended environment.
Black Box’s selected factory architecture gives Planner, Coder, Reviewer, QA and service distinct powers.
The Planner translates architectural intent into a proposed mandate. An eligible owner confirms it. Implementation is a bounded attempt; independent review concerns the exact source being judged. The service cannot manufacture the reviewer’s acceptance.
The design reserves capacity for review and QA. It includes acceptance criteria before implementation, checks on the installed artifact and exploratory examination of surfaces that fixed tests do not yet cover.
The selected development direction gives Planner, Coder, Reviewer and QA different identities and bounded attempts. The role-separated triad is an architectural proposal; an admitted project pipeline still needs its own qualification. Reviewer capacity and credentials are reserved as independent resources.
The CEO decides what counts as accepted; a reviewer who did not build the slice decides whether it meets that. Illustrative.
What the research says
MIT NANDA's preliminary findings, drawn from interviews and conference surveys, say most organizations saw no measurable return from their GenAI pilots. The gap they describe sits between a demo and a system a team can run, so Black Box Factory agrees on acceptance before building and has a separate reviewer test the result.
Illustrative situations, connected to the mechanisms that make them possible.
Organizations commissioning custom AI
A difficult brief spans data, software, interfaces and operating responsibilities.
Engineering teams
A development attempt ends before the work is resolved.
Product organizations
Several implementation streams compete for the same finite engineering capacity.
A working artifact needs a way to be installed, observed, recovered and changed.
Durable handovers retain source, result, findings and the next decision. Incoming material is treated as evidence rather than new authority.
The engagement specifies controls, documentation, recovery and support responsibilities.
Naevum delivers through project-specific build, review and release workflows. The full unattended factory loop is a development direction.
No. The architecture selects the components the problem needs. A bounded integration or a single well-defined product can be the right engagement.
Describe the work you want to change, its users, current systems, operating constraints and how you would recognize a useful result.
The technical choices that give Black Box Factory its particular behavior.
Black Box organizes custom AI delivery around a client mandate, architecture, implementation, independent challenge and operational handover. Its selected factory design keeps acceptance tied to the exact change being judged.
The mandate. Define the work, operating boundaries and outcomes that acceptance must examine.
The architecture. Choose components, data contracts and integration points appropriate to the problem.
The accepted artifact. Bind the built software, review findings and QA evidence to an exact source and intended environment.
An illustrative custom-development journey from a recurring operational problem to handover.
Follow the storyWhich operating problem should become a working system first?
Discuss a system to build