Project Control

The screen technically works, but the buyer cannot quickly tell what matters, what to click, or whether the product is polished enough to trust.

UI/UX Standard checks page purpose, visual hierarchy, call-to-action priority, spacing, mobile behavior, and simple trust cues before the screen is shown or handed to deeper UI review.

• Fewer embarrassing first-screen mistakes before a customer or investor sees the product.
• A repeatable way to ask an AI agent for better UI without learning design terminology first.

The founder has a name and taste words, but no shared decision on audience, tone, symbol style, avoid-list, or where the logo must work.

Logo Clarifier separates brand facts from preferences, proposes three logo directions, prepares a safer generation prompt, and checks readability, small-size use, background fit, and trademark caution.

• Less logo prompt trial-and-error for first-time founders.
• A clearer visual direction before UI/UX, landing pages, or product illustrations are built.

The team talks about the process, but no one has confirmed the real steps, owners, handoffs, approval points, and exception paths.

ISO Workflow Maker converts rough notes into process facts, missing-question prompts, confirmed workflow logic, workflow-tool-ready structure, and optional process XML only after the flow is reviewed.

• Clearer process scope before writing an SRS or building automation.
• Less back-and-forth with staff because unclear steps are surfaced early.

The project has too many source files, generated outputs, drafts, and backups, so an agent can overwrite or delete the wrong thing while trying to help.

File Governor requires purpose-first search, reuse checks, ownership decisions, registry updates, input/output contract review, long-file split decisions, cleanup manifests, and a rollback path.

• Less project clutter and fewer accidental overwrites.
• Clearer handoff when another agent or team member resumes the work.

The idea feels real, but the users, screens, rules, data, minimum useful version, and definition of done are still not clear enough to build from.

SRS Creator separates facts, assumptions, and open questions, then drafts the software build brief, acceptance checks, data notes, risk notes, and a minimum useful version boundary for review.

• A clearer starting point before paying for development or asking an AI agent to code.
• Less hidden ambiguity in screens, workflows, rules, and user outcomes.

The project needs hosting, login, data, payments, email, storage, or deployment, but choices are being made from familiar tool names instead of real fit.

Platform Setup Guide compares platform layers by budget, region, data, payment, security, support, and lifecycle tradeoffs, then writes the setup runbook and environment-variable contract.

• Less wrong-stack rework before implementation accelerates.
• A clearer low-cost setup plan that a founder can discuss with a developer.

The app is growing past a simple page, but modules, APIs, deployment shape, security handoffs, and data boundaries are still being decided feature by feature.

Architecture Governor converts accepted requirements into architecture assumptions, quality attributes, component boundaries, integration points, deployment constraints, tradeoffs, and linked handoffs.

• Less rebuild risk from weak structure.
• A clearer technical plan that non-technical owners can still approve.

The app is starting to store real data, but tables, fields, statuses, permissions, reports, migrations, and recovery rules are still being guessed.

Database Governor defines storage choice, table and field dictionary, relationships, statuses, indexes, migration plan, retention/recovery notes, and data-safety checks from workflow and requirement evidence.

• Fewer schema mistakes before code and admin screens depend on them.
• Clearer data meaning for future reports, billing, and customer workflows.

The product now has multiple screens, and improving one screen can quietly damage layout consistency, mobile behavior, accessibility, wording, or brand trust elsewhere.

UI/UX Governor protects the approved interface baseline, reviews screen-level changes, checks responsive and accessibility fit, records design decisions, and gives frontend handoff directives.

• More trustworthy product experience across desktop and mobile.
• Fewer late redesigns caused by approving weak screens too early.

The app works in a demo, but every edit feels riskier because naming, duplication, large functions, hidden side effects, and missing tests are starting to accumulate.

Code Quality Starter reviews readability, duplication, function focus, error/log handling, testability, refactor candidates, and concrete risk notes before more code is added.

• A clearer decision on whether to keep building on top of the current code.
• Earlier cleanup before technical debt becomes expensive.

The app now touches accounts, admin actions, payments, downloads, private data, or secret keys, but no one has mapped what could be exposed or misconfigured.

Security Assessment maps assets, entry points, trust boundaries, code/config risks, verified findings, missing evidence, severity, safe remediation order, and follow-up verification.

• Fewer blind spots before connecting real customers, payments, or private files.
• A clearer list of risks to give a developer or AI agent for remediation.

The app runs locally, but another person may fail on setup because commands, environment variables, database state, assets, secrets, or hosting assumptions are unclear.

Standalone Webapp Packager compares delivery options, checks runtime assumptions, protects secrets, defines build and clean-machine tests, and writes handoff notes for the chosen path.

• Less time lost on the wrong packaging path.
• Clearer owner expectations before delivery.

Work has happened, but the owner cannot see what changed, what was verified, what is blocked, or what decision is needed without reading raw technical traces.

Project Report Generator collects task state, changed files, decisions, blockers, verification evidence, risks, and next actions into a report written for the target audience.

• Less time turning technical work into stakeholder updates.
• Clearer accountability for what was verified and what remains open.

A requirements draft exists, but contradictions, weak acceptance checks, casual edits, and unclear authority can still steer the build.

SRS Governor establishes the official requirements source, requirement IDs, modular reading paths, traceability, acceptance checks, change control, and future-agent reading rules.

• Fewer build mistakes caused by vague or changing requirements.
• A clearer approval trail for owners, developers, and AI agents.

The requirements are approved, but code changes can still drift unless each edit is tied to a requirement ID, acceptance check, and allowed scope.

SRS Executor reads the approved requirements path, maps requirement IDs to tasks and files, routes specialist handoffs, records verification evidence, and reports residual risk.

• Less implementation drift during AI-assisted coding.
• Clearer evidence for what was built and why.

The demo looks complete, but required behavior may be missing, wrong, partial, blocked, or mixed with unapproved extras.

Feature Compliance Audit reads the governed requirements and implementation evidence, builds a requirement-to-evidence matrix, identifies gaps or extra behavior, and gives a release recommendation.

• Fewer release surprises caused by missing required behavior.
• A clearer owner decision before handoff or launch.

The code now touches shared behavior, multiple files, or release-sensitive paths, so a quick readability pass cannot prove the work is safe to continue.

Clean Code Governor reviews cross-file risk, duplication, boundaries, logs/errors, tests, build evidence, release blockers, residual risk, and required fixes before approval.

• Stronger confidence before launch, handoff, or continued feature work.
• Clearer refactor priorities instead of vague 'clean it up' advice.

The project has crossed sessions, tasks, and partial fixes, and no one can quickly tell what is done, blocked, active, or next.

Execution Governor reads task/status evidence, classifies the request, decomposes independent work, routes the right specialist skill, records blockers, and updates next-action evidence.

• Less duplicated work when sessions resume.
• Clearer owner control over what is active, blocked, or ready.

The repository contains stale routes, generated files, duplicate docs, drafts, and backups, but no one knows what can be removed without losing project knowledge.

Codebase Hygiene Governor inventories clutter, checks references and registries, classifies each candidate, explains keep/remove rationale, and prepares a reversible cleanup manifest.

• Less repository confusion for future work.
• Safer cleanup decisions with fewer accidental losses.

The team is adding reusable skills, but overlap, weak routing, missing registry entries, and shallow wrappers can make the library harder to trust.

MSkill Governor reviews necessity, overlap, naming, authority, source transfer, registry impact, dependencies, quality findings, and approve/fix/reject/deprecate decisions.

• Less skill sprawl and duplicate governance.
• More reliable direct invocation and routing.

The product feels close to ready, but release risk is scattered across requirements, architecture, UI, security, code, packaging, reports, and unresolved blockers.

Comprehensive Project Governor gathers specialist gate results, missing evidence, release blockers, required fixes, residual risks, and owner decisions into one readiness verdict.

• Fewer false-ready releases.
• Clearer final owner decision.

The agent is entering an unfamiliar or messy repository without knowing the real files, active tasks, runnable state, project rules, or first safe work path.

Project Kickoff scans structure, task/status evidence, governance artifacts, requirements and architecture clues, runtime signals, risk points, and produces a startup readiness plan.

• Fewer wrong-start sessions.
• Clearer project baseline before implementation or cleanup.

Each AI session can start from a different rule set because instructions live in chat history, scattered notes, or tool-specific files without backups and recovery checks.

Agent Rule installs managed instruction blocks, backs up existing adapters, verifies recognition, records task and verification expectations, and leaves a recovery path for supported environments.

• More consistent AI work across sessions.
• Less repeated prompt setup before serious work.