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Background Agents

Background Agents

The specialized processes that analyze, research, and reason in parallel.

Overview

Background agents run alongside your conversation. Each is optimized for a specific type of analysis.

How it works:

  1. You send a message
  2. Each agent evaluates whether to activate
  3. Activated agents run in parallel (non-blocking)
  4. Insights surface as follow-up messages

Default Agents

Emotional Resonance

What it does: Senses the emotional undercurrent in your messages—even when you're not explicitly sharing feelings.

When it activates:

  • Vulnerability or personal struggle
  • Strong emotion (frustration, excitement, worry)
  • Unusual brevity or tone shifts

Why it matters: Sometimes what you need isn't analysis—it's to feel heard. This agent catches emotional signals you might not voice directly.


Pattern Recognition

What it does: Spots recurring themes, behavioral loops, and contradictions across your conversation history.

When it activates:

  • Same topic keeps coming up in different forms
  • Contradictory statements over time
  • Avoidance patterns

Why it matters: We often repeat ourselves without realizing it. This agent surfaces patterns that might reveal deeper priorities or blocks.


Confirmation Bias Detection

What it does: Flags overconfidence, unchecked assumptions, and blind spots.

When it activates:

  • Absolute certainty without evidence ("This will definitely work")
  • Assumptions stated as facts ("Everyone knows...")
  • Dismissing alternatives without consideration

Why it matters: We're all prone to confirmation bias. This agent provides a reality check before decisions solidify.


Background Analysis

What it does: Deep analytical processing—surfaces hidden meanings, logical gaps, and implications.

When it activates:

  • Explicit requests for deeper analysis
  • Complex decisions with multiple factors
  • Requests to "read between the lines"

Why it matters: Sometimes you need slow, deliberate thinking—not a quick take. This agent does the heavy reasoning.


Deep Research

What it does: Comprehensive multi-source research that synthesizes information across time and perspectives.

When it activates:

  • Requests for thorough research
  • Complex topics requiring multiple angles
  • Historical context or evolution questions

Why it matters: Single web searches give surface answers. This agent builds comprehensive understanding from multiple sources.


Strategic Planning

What it does: Transforms goals into concrete action sequences with risk awareness.

When it activates:

  • Requests for plans, roadmaps, or strategies
  • Decisions with tradeoffs to consider
  • Prioritization questions

Why it matters: Ideas need execution paths. This agent turns abstract intentions into actionable steps.


Reasoning

What it does: Mathematical, logical, and first-principles analysis.

When it activates:

  • Calculations and quantitative problems
  • Physics, statistics, engineering questions
  • Logical derivations

Why it matters: Some problems need precise computation, not conversation. This agent handles formal reasoning.


Online Tool Use

What it does: Accesses your connected services—email, calendar, files.

When it activates:

  • "Check my inbox"
  • "What's on my calendar?"
  • "Find that document about..."

Why it matters: Your data lives in many places. This agent retrieves and acts on it so you don't context-switch.

See Integrations for connecting services.


Triggering Agents Explicitly

You can request specific analysis:

Say thisTriggers
"Research this thoroughly"Deep Research
"Am I missing something?"Confirmation Bias Detection
"Help me plan this out"Strategic Planning
"Check my inbox"Online Tool Use
"What patterns do you notice?"Pattern Recognition

Customization

You can configure:

  • Which agents are active – Enable/disable specific background agents
  • Which models power them – Swap in different AI providers
  • Activation sensitivity – Adjust how readily agents engage

Access agent settings in your Viventium dashboard.


How Agents Choose Their Models

Each agent can use a different AI model optimized for its task:

Agent TypeTypical Model ChoiceWhy
Fast dialogueGrok, GPT-4oSpeed
Deep reasoningClaude Opus, o1Accuracy
ResearchPerplexity SonarSource synthesis
Quick classificationLlama via GroqUltra-low latency

You control the mix. Experiment to find your ideal configuration.