Konnect.ai

Best Practices

Get the most out of Konnect.ai with these proven strategies for multi-model querying.

Choosing the Right Mode

Use Smart Chat for...

  • Quick factual questions with clear answers
  • Simple coding tasks or explanations
  • Brainstorming and ideation

Use Ensemble for...

  • Important decisions requiring high accuracy
  • Fact-checking and verification
  • Technical questions with multiple valid approaches

Use Debate for...

  • Controversial or divisive topics
  • Testing the strength of arguments
  • Strategic decisions with trade-offs

Use Council for...

  • Complex problems needing multiple perspectives
  • Multi-stakeholder decisions
  • Risk assessment and planning

Model Selection Strategy

Pro tip

Always include at least one model from each major provider (OpenAI, Anthropic, Google) to get diverse perspectives and reduce provider-specific biases.

For Maximum Accuracy

Use the top-tier models from each provider:

gpt-4o + claude-3-opus + gemini-pro

For Speed + Quality Balance

Use faster models that still provide good results:

gpt-4-turbo + claude-3-sonnet + gemini-flash

For Code-Heavy Tasks

Models known for strong coding performance:

claude-3-opus + gpt-4o + claude-3-sonnet

Choosing Aggregation Methods

Synthesis (Default)

Best for most use cases. Creates a coherent, unified response.

General questions, research, analysis

Consensus

Use when you need to identify agreement vs. disagreement.

Fact-checking, verification, high-stakes decisions

Best-of-N

When you want the single best response, not a blend.

Creative writing, code generation

Union

When completeness matters more than conciseness.

Research, comprehensive coverage, brainstorming

Do's and Don'ts

Do

  • • Be specific in your questions
  • • Use ensemble for important decisions
  • • Review consensus scores
  • • Use sessions for follow-up questions
  • • Mix providers for diversity

Don't

  • • Use ensemble for simple questions
  • • Ignore low consensus scores
  • • Use all models from one provider
  • • Skip context in follow-ups
  • • Trust single-model responses blindly

Interpreting Results

High Consensus Score (0.8+)

Models strongly agree. The answer is likely reliable. Safe to proceed with confidence.

Medium Consensus Score (0.5-0.8)

Some agreement but notable differences. Review the individual responses and consider asking follow-up questions to clarify.

Low Consensus Score (<0.5)

Models disagree significantly. The topic may be controversial, ambiguous, or the question may need refinement. Consider using Debate mode or consulting additional sources.