- Home
- Getting Started
- Account & Settings
- Roles & Add-On Access
- Settings
- Agentic
- White Label
- Agents & Engines
- Engines
-
Agents
- Overview
- Core Agents
- Core Agents
- Matrix Agent
- Audit Agent
- Industry Agents
- Patent Agent
- Add-On Modules
-
Manufacturing
- Manufacturing
- Overview
- Work Orders
- Production Scheduling
- Shop Floor Monitor
- OEE Dashboard
- Production Counters
- Plant & Process Setup
- Work Centers
- Bill of Materials
- Manufactured Products
- Work Instructions
- Quality Operations
- Overview
- Inspection Plans
- Quality Checklist
- Non-Conformance (NCR)
- SPC Charts
- Traceability (4M)
- Maintenance Operations
- Overview
- Asset Registry
- Preventive Maintenance
- Work Orders
- Spare Parts
- Reliability Dashboard
- Inventory Operations
- Overview
- Material Staging
- WIP Tracking
- Kanban Replenishment
- Material Consumption
- Assets
- Asset Health
- Legal
- Construction
- Government
- Education
- Energy
- Agriculture
- Healthcare
- RevOps
- Ecommerce Operations
- Financial Audit & Fintech Ops
- Insurance
- Hospitality
- Real Estate
- Patent & R&D Operations
- Automotive & Fleet Management Ops
- Customs & Global Trade
- Enterprise & Technical
-
Enterprise Operations
- Enterprise Operations
- Overview
- Enterprise Operations Guide
- Compliance & Docs
- Overview
- Approval Workflow
- Expiry Reminders
- Document Control
- Audit Trail
- Compliance Radar
- Contracts & Warranty
- Overview
- Active Contracts
- Warranty Check
- Service Billing
- Field Service
- Overview
- Dispatch Board
- Job Management
- Van Inventory
- Performance Dashboard
- Service Desk
- Overview
- Service Requests
- SLA Monitor
- Knowledge Base
- Procurement & Vendor
- Purchase Orders
- Vendor Portal
- RFQ Management
- QHSE
- Overview
- Incident Reporting
- Permit to Work
- Safety Inspections
-
Security & Compliance
- Threat & Monitoring
- Overview
- Security Hub
- Security Audit
- IAM Visualizer
- Dependency Scanner
- Secret Scanner
- Secret Vault
- Traffic Monitor
- Audit Trail
- Threat Simulator
- Compliance Radar (MatrixAgent)
- Identity & Compliance
- Overview
- PPTX Auditor
- PDF Auditor
-
Engineering & Infrastructure
- DevOps & Infrastructure
- Overview
- Cron Builder
- CI/CD Pipeline
- Containers
- Log Streamer
- Secrets Management
- Health Monitor
- Infrastructure as Code
- Developer Tools
- Overview
- Nerve Center
- Git Diff Viewer
- Regex Tester
- JSON Transformer
- Workflow Optimizer
- Execution Replay
- Workflow Editor
- Dev Hub Terminal
- Security Hub
- Graph View
- Terminal Editor
- API Playground
- DSL Compiler
- Database Tools
- Overview
- Database Manager
- ORM Mapper
- SQL Formatter
- Schema Visualizer
- Visual Query Builder
- Seed Data Generator
- Custom Collections
- QA & Test
- Overview
- Flake Tracker
- Artifact Vault
- Web Test Module
- Test Plan & Runner
-
Data & Intelligence
- AIOps & Intelligence
- Overview
- Agents
- Agent Architect
- Model Center
- Prompt Lab
- Knowledge Base
- Agent Persona Editor
- Tool / Function Registry
- Observability & Logs
- DataOps & Analytics
- Overview
- Data Inspector
- AI Predictive Models
- Core Modules
- Ads & Social Media
- AI Assistants
- API & Integration
- App Groups
- Appointment Booking
-
Automation
- Automation
- Overview
- Workflow Editor
- Monitoring
- Execution Heatmap
- Workflow Pulse
- Trigger Control
- Task Scheduler
- Integration Hub
- Rule Engine
- Pipeline Designer
- Workflow Editor
- Overview
- Triggers
- Manual Input
- Data Sources
- Ecommerce
- Document Management
- Logic & Transform
- AI Agents
- Knowledge / AI
- Validation & Security
- Integrations
- Outputs
- Document Generation
- Image Generation
- Video Generation
- Coming Soon
- Call Center
- Collaboration
- Community
- Creative Studio
- CRM
- Fleet & Logistics
-
Finance
- Hub
- Finance Hub
- Accounting Hub
- Treasury & Banking Hub
- Commercial Accounts Hub
- Invoicing & Billing Hub
- Reporting & Analytics Hub
- Grid View
- Overview
- Accounting AI Assistant
- Treasury
- Invoice Manager
- Expense Management
- Financial Accounts
- Payroll
- Accounts Receivable
- Accounts Payable
- Bank Reconciliation
- Budget & Forecasting
- Expenses & Budget
- Profit & Loss
- Tax & Compliance
- Galleries & Curation
- Google Display Ads
- Human Resources
- Legal & Support
- Logistics
- Map Explorer
- Marketing
- My Workspace
- Plans & Pricing
- Point of Sale
- Product Management
- Purchase
- Sales
- Semantic Search
- Strategy & Fundraising
- Warehouse
- Website
- Productivity
- Project Management
- Documents
- Learning (LMS)
-
Creator Tools
- Overview
- Brand Identity Creator
- Template Creator
- Image Creator
- Overview
- Getting Started
- Image Generation
- Remix
- Upscale
- Magic Replace
- Remove Background
- Reframe
- Describe
- Magic Tags
- Magic Fill
- Style Transfer
- Style Preset
- Social Media Images
- Prompting Guide
- Video Creator
- Overview
- Getting Started with Video
- Text to Video
- Image to Video
- AI Video Transition
- Video Effects
- Scene Builder
- Short Film Creator
- Audio Creator
- Overview
- AI Audio
- Text to Speech
- Voice Cloning
- Music Generation
- Sound Effects
- Writer Tools
- App Factory
- Research
- Utilities
AI Assistants Overview
Two families of contextual AI Assistant — one built for acting on table rows, one built for interpreting dashboard metrics — both powered by the same Agentic writer-engine settings.
What is AI Assistant?
TotalApp gives almost every screen its own AI Assistant — a contextual panel that understands the data on that specific screen and can act on it or explain it in plain English. Rather than one generic chatbot bolted onto the app, there are two purpose-built families, each shaped for the kind of screen it lives on.
Every AI Assistant, regardless of family, is powered by the same underlying Agentic configuration (see Agentic → Overview) — the Writer Engine you choose in Settings (Ollama, In-Browser/WebGPU, Cloud LLM, or Local CLI) is what actually answers the assistant's requests. This is why every AI Assistant in TotalApp respects your chosen engine instead of silently calling a cloud API: the client-side code checks the active Writer Engine before making any request, so switching to a fully local or in-browser engine keeps every assistant working without a single behavior change.
The core split
Table/List screens get an assistant built for row-level action. Dashboard screens get an assistant built for metric-level insight. Same underlying AI, two very different jobs.
Table Assistants vs. Dashboard Assistants
| Aspect | Table & List Assistants | Dashboard Assistants (Insight Generator) |
|---|---|---|
| Where it appears | Any table/list screen — Asset Registry, My Projects, Purchase Orders, Employees, and more | Chart-heavy dashboard screens — starting with the MTBF/MTTR Reliability Dashboard |
| What it does | Acts on the rows in front of you — selects, edits, cleans up, filters, summarizes, converts | Reads the charts for you — summarizes metrics, explains trends, recommends next steps |
| Example action | "Set status to Approved for these 5 records and create a work order" | "MTTR spiked in Q3 — driven mostly by the Boiler System H8 asset group" |
| Output shape | Bulk edits, filtered views, exported files, inline suggestions | Executive summary, root-cause explanation, actionable recommendation |
Learn More
Table & List Assistants
Multi-select bulk actions, data cleanup, natural-language filtering, quick summarization, and inline smart suggestions on every table screen.
Dashboard Assistants (Insight Generator)
Natural-language executive summaries, root-cause and anomaly detection, and actionable recommendations for every chart-heavy dashboard.
Dashboard Assistants Are Arriving Now
Table/List Assistants already exist across many screens today. Dashboard Assistants — the Insight Generator — are the newest addition to this family, rolling out across TotalApp's chart-heavy dashboards starting with the MTBF/MTTR Reliability Dashboard in Maintenance Operations, with the Manufacturing OEE Dashboard and other analytics screens close behind.
Same concept, screen by screen
Because every Dashboard Assistant is scoped to its own dashboard's own screen and data, rolling it out to a new dashboard is a matter of wiring up that screen's metrics — not building a new AI concept from scratch.