01 · Sense
Capture the signal
Pull the latest context from feeds, documents, email, meetings, repos, sheets and public sources before work begins.
Inputs become structured context
Automation Hub
Turn AI signal into systems that work.
Sintra's automation layer connects live intelligence, prompts, models, tools, memory and approval gates into practical workflows for work, learning and building.
Operating loop
A simple system: sense, reason, act, learn.
Professional AI automation is not random agents clicking buttons. It is a controlled loop with sources, judgment, actions and memory.
02 · Reason
Decide what matters
Rank, classify, summarize, compare and challenge the raw material so the system separates noise from decisions.
AI turns information into judgment
03 · Act
Execute with control
Generate drafts, update files, create tickets, prepare reports, trigger workflows and keep humans in the approval loop.
Work moves from insight to output
04 · Learn
Improve the loop
Save examples, outcomes and corrections so future runs become faster, safer and more relevant.
Every run creates reusable knowledge
Workflow library
Reusable automation patterns for real work.
Each workflow is framed as an operating pattern, not a toy demo: what it reads, how it reasons, what it produces and where humans stay in control.
ResearchStarter
Daily AI intelligence brief
Turns live frontier sources into a short daily briefing with what changed, why it matters and what to try next.
Outcome
A trusted daily operating picture for AI leaders and builders.
Loop
- Aggregate sources
- Deduplicate events
- Rank by impact
- Write briefing
- Archive decisions
Tools
Live feedNews archiveWeekly picksRSS/JSON Feed
ProductivityStarter
Meeting-to-action system
Converts meeting notes, transcripts and follow-ups into decisions, owners, deadlines and ready-to-send drafts.
Outcome
Less meeting fog, more accountable execution.
Loop
- Capture transcript
- Extract decisions
- Assign owners
- Draft follow-ups
- Track unresolved items
Tools
CalendarEmailDocsTask board
Finance & FP&AOperator
Finance variance copilot
Reads actuals, forecast, commentary and drivers, then prepares a variance narrative with risks and questions.
Outcome
A faster close cycle and sharper business-review story.
Loop
- Load actuals
- Compare forecast
- Detect drivers
- Draft narrative
- Prepare stakeholder questions
Tools
ExcelPower BISAPPrompt library
Software DevelopmentOperator
GitHub PR review agent
Summarizes code changes, checks tests, explains risk and drafts review comments before merge.
Outcome
Cleaner pull requests and fewer hidden regressions.
Loop
- Read diff
- Map changed files
- Run checks
- Summarize risk
- Draft review
Tools
GitHubCICode modelTest logs
Research & AnalysisAdvanced
Customer research loop
Turns interviews, support tickets and market notes into themes, evidence and product opportunities.
Outcome
A living customer-insight system instead of scattered notes.
Loop
- Collect sources
- Cluster themes
- Extract quotes
- Score opportunities
- Create roadmap inputs
Tools
DocsSheetsEmbeddingsTopic hubs
Agentic WorkflowsAdvanced
Personal AI operating system
Combines live context, memory, tools and approval gates into a repeatable daily operating loop.
Outcome
A personal command center for work, learning and execution.
Loop
- Define operating rhythm
- Connect tools
- Create memory
- Add approvals
- Review outcomes
Tools
MCPLocal modelsCloud APIsKnowledge graph
Architecture
The stack behind useful AI automation.
Sintra organizes automation from the human interface down to models, tools, memory and governance so builders can see where every piece belongs.
Layer 01
Interface
Where the human gives intent and reviews output.
ChatCommand paletteDashboardMobile capture
Layer 02
Orchestration
The logic that decides which model, tool and step runs next.
Agent loopWorkflow engineRouterScheduler
Layer 03
Models
The reasoning layer, selected by task, cost, privacy and capability.
Frontier APIsLocal modelsSpecialist modelsEmbeddings
Layer 04
Tools
The actions the system can take after reasoning.
EmailCalendarGitHubSheetsBrowserFiles
Layer 05
Memory
The reusable context that makes each run smarter than the last.
Knowledge graphVector indexDecision logExamples
Layer 06
Governance
The constraints that keep automation safe, auditable and reversible.
Approval gatesScopesLogsRollbackSource citations
Trust layer
Automation needs brakes, not just engines.
The professional version of AI automation is visible, reversible and auditable. These guardrails should exist before workflows touch customers, money, files or production systems.
Human approval for external sends, writes and irreversible actions
Source links and confidence notes for research and business claims
Clear tool scopes so an agent can narrow permissions but never expand them
Dry-run preview before changing files, tickets, calendars or data
Audit log for prompt, input, tool call, output and final decision
Choose the model
Compare model cost, capability and fit before wiring a workflow.
Open modelsChoose the tools
Find the execution surfaces: email, code, research, media, data and agents.
Open toolsLearn the system
Move from AI user to automation operator through structured paths.
Open learning