What gets modelled
Accounts, projects, tasks, owners, priorities, dates, statuses, and configured actions.
Use cases
Start with the work. Choose the products that fit.
Blazorly supports two kinds of outcomes: operational applications people can use through screens or conversation, and supervised agents or AI crews that work with defined capabilities and control points.
How to read these examples What gets modelled What people use What the agent can help with
01
Example pattern · Application platform
Operational software around a real process
The team has a relationship-heavy workflow spread across spreadsheets, inboxes, and generic project tools. Ownership and current state are difficult to see.
What people use
A dashboard for the overview, lists for scanning, forms for updates, and detail pages for connected context.
What the agent can help with
Ask which work needs attention, surface the affected records, and prepare an approved status change.
Related examplesDelivery operationsClient onboardingInternal project tracking
02
Example pattern · Customer operations
Service requests and case management
Requests arrive through inconsistent channels, internal notes get mixed with customer updates, and teams lose the history behind a decision.
What gets modelled
Customers, cases, request types, priority, owner, status, related documents, notes, and resolution history.
What people use
A triage list, structured case form, related customer record, private notes, documents, and an audit panel where configured.
What the agent can help with
Find urgent or stale cases, summarise the available context, and prepare a supported reassignment or status action for approval.
Related examplesSupport queuesInternal service desksClaims or exception review
03
Example pattern · Accounts and portals
Customer and account workspaces
Account context lives in separate tools, recurring handoffs are manual, and people repeatedly search for the same status, document, or next action.
What gets modelled
Organisations, contacts, engagements, milestones, documents, renewal dates, issues, and next actions.
What people use
An account overview, relationship-aware detail pages, structured updates, and role-appropriate navigation.
What the agent can help with
Open an account by intent, summarise active work, identify missing follow-ups, and prepare a supported record update.
Related examplesAccount operationsPartner coordinationCustomer delivery visibility
04
Example pattern · Standalone agents
Research and decision support
A recurring decision requires current external research, internal context, clear citations, and an honest explanation of uncertainty.
What gets modelled
A defined outcome, approved knowledge, research tools, memory policy, evaluation cases, and a release version.
What people use
Agent Studio for build, knowledge, testing, evaluation evidence, deployment, and activity review.
What the agent can help with
Clarify the decision, gather current sources, distinguish fact from inference, and produce a bounded evidence-backed brief.
Related examplesMarket researchSupplier comparisonsProduct or policy briefs
05
Example pattern · Connected agents
A supervised operations assistant
People spend time triaging messages, gathering context from external applications, and preparing repetitive updates—but the final action still needs accountable review.
What gets modelled
Outcome instructions, selected tools, connected accounts, narrow action grants, tests, and a supervision policy.
What people use
A test workspace and release workflow, followed by the selected channel, API, or scheduled operating surface.
What the agent can help with
Classify work, gather permitted context, draft a response or action, and pause at the configured approval boundary.
Related examplesShared inbox triageSales operations supportInternal request routing
06
Example pattern · AI product teams
A supervised Crew around every product
A founder runs several products and needs AI teammates to share product context, coordinate bounded work, use approved apps, and report what happened without becoming an invisible automation layer.
What gets modelled
Product projects, Mate roles, shared knowledge, work items, handoffs, connected-app grants, approvals, lifecycle playbooks, and briefings.
What people use
The portfolio, Crew room, direct Mate chats, Work, Crew Inbox, Knowledge, Apps, Lifecycle, Briefings, and Trust centre.
What the agent can help with
Mates work from their role and current authority, hand off bounded tasks, ask the founder to approve sensitive actions, and contribute evidence to briefings.
Related examplesFounder product operationsCross-functional launch supportOngoing customer lifecycle work
A useful boundary
These are patterns, not pre-built promises.
Each application, agent, and Crew is configured around a concrete outcome. Exact modules, actions, integrations, channels, autonomy, and rollout timing depend on the product and workspace. We do not attach invented customers, metrics, or delivery-time claims to these examples.
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