AI-generated recommendations and examples are illustrative, not verified measurements. Accuracy, model availability, benchmark freshness, cost savings and improved results are not guaranteed. Verify outputs independently before relying on them.

GetResult

Result Synthesis

Security Level 1

Consolidate multiple answers into one optimal result. Combine different perspectives - multiple opinions become one coherent solution!

SindByte tool execution flow: voice command, AI parse, execute, validate, result

Why This Tool Stands Out

Consistent Synthesis Different answers are merged into one coherent overall picture - no more fragmentation!
Best-of Approach The best elements from each answer are extracted and combined - quality maximization!
Resolving Contradictions Opposing statements are analyzed and harmonized - well-founded compromises!
Multi-Stage Refinement Multiple iterations ensure increasing precision - iterative optimization!

Technical Details

Parameters

Parameter	Type	Required	Description
`responses`	Array	Yes	List of answers to consolidate
`goal`	String	Yes	The desired outcome/quality criterion
`refinement_rounds`	Integer	No	Number of refinement rounds (default: 2)
`conflict_resolution`	String	No	"conservative", "aggressive", "balanced" (default: balanced)

Request Example

{
  "tool": "GetResult",
  "params": {
    "responses": [
      "GPT-4: The solution requires a microservices approach with an API gateway.",
      "Claude: A monolithic architecture with a modular structure is better.",
      "Gemini: Hybrid approach with a core monolith and microservices for new features."
    ],
    "goal": "Recommendation for modernizing the architecture of a legacy system",
    "refinement_rounds": 3,
    "conflict_resolution": "balanced"
  }
}

Response Example

{
  "status": "success",
  "synthesis": {
    "consolidated_result": "A gradual transition is recommended: Start with a modular monolith structure for the legacy core and decouple new features as microservices. This minimizes risk during the migration and enables gradual modernization.",
    "key_points": [
      "Modular monolith for stable legacy components",
      "Microservices only for new, independent features",
      "API gateway as the central interface",
      "Gradual migration instead of big bang"
    ],
    "sources_contributions": {
      "GPT-4": "Microservices advantages and API gateway",
      "Claude": "Monolith stability and migration risks",
      "Gemini": "Hybrid transition approach"
    },
    "conflicts_resolved": [
      {
        "conflict": "Microservices vs. Monolith",
        "resolution": "Context-dependent combination of both approaches"
      }
    ],
    "confidence": 0.88,
    "refinement_history": [
      "Round 1: Grouping similar points",
      "Round 2: Conflict analysis and resolution",
      "Round 3: Final structuring and wording"
    ]
  }
}

Example Usage

Illustrative HTTP pseudocode only: example.invalid is a placeholder, not a documented service endpoint. Do not send real credentials. Confirm the local MCP transport and tool schema for your installed version.

# GetResult API call
import requests

responses = [
    "Model A recommends: Kubernetes for orchestration",
    "Model B recommends: Docker Compose for simplicity",
    "Model C recommends: Serverless for cost efficiency"
]

response = requests.post(
    "https://api.example.invalid/iqtools/getresult",
    headers={"Authorization": "Bearer EXAMPLE_KEY_DO_NOT_USE"},
    json={
        "responses": responses,
        "goal": "Best deployment strategy for a startup",
        "refinement_rounds": 2
    }
)

result = response.json()
print(result["synthesis"]["consolidated_result"])

Typical Usage Examples

Survey Analysis
"Combine these 50 responses into one coherent report"
Meeting Minutes
"Consolidate these different notes from the meeting"
Multi-Model Results
"Merge the answers from GPT-4, Claude, and Gemini"
Feedback Summary
"Turn the customer feedback into an action plan"

Perfect for

Teams Feedback consolidation
Analysts Data synthesis
Managers Decision-making

Time Savings Overview

No measured time-saving or performance figures are available here. Results depend on the task and environment.

Related Tools

Merge Multiple Perspectives?

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