Enterprise ComplianceDetailed ReportingAuto-OptimizationAI Subscription: Master Every Credit with Your AI AgentsComplete Transparency, Automated Optimization, and Enterprise Governance. See Exactly Where Every Euro of Your AI Subscription Goes.Start FreeSee a Demo100%Cost VisibilityZeroWasted CreditsTotalBudget ControlTotal Control of Your AI CostsReal Benefits for Your BusinessControlled BudgetNo more billing surprises. Every credit is tracked, justified, and automatically optimized by our intelligent engine. Guaranteed SavingsTotal VisibilityReal-time dashboards, detailed team reports, and automatic alerts for optimal management of your AI subscription. Reporting automatiséEnhanced GovernanceConfigurable usage policies, per-user limits, and complete audit trail for your compliance needs. Assured ComplianceComplete Transparency: Every Credit ExplainedBased on our actual agent engine process 🎯 Our commitment: zero hidden creditsDiscover exactly how each credit is consumed in the Swiftask process.Precise step-by-step breakdown, true to our real technical architecture.User QuestionYour question text converted to input creditsContext Sent to LLMContext + history + optimized instructionsIntermediate Response (reasoning)Action plan generated by the LLMSwiftask Skills CallOnly if LLM processing is needed to handle resultsSkill Result → LLMsi LLMTool data integrated into contextFinal Enriched ResponseComplete context + final response generationDisplay to UserSimple transmission, no LLM interactionHow Does Our Agent Engine Work?The technical process that optimizes your AI subscription creditsThe Swiftask Agent EngineDefinition: An entity that coordinates the entire process. It acts as the conductor between reasoning (LLM) and action (skills).Receives user question Builds a query with context for the LLMInterprets LLM responseCalls Swiftask skills if necessaryTransmits results to LLM for enriched response Provides final answer to userUser QuestionYour complex question is transformed into credits to be used as input by the LLM. Input credits consumedContextual EnrichmentThe agent builds a prompt with your question, previous history, and additional context. Question + context countedPlan GenerationThe LLM responds with intermediate reasoning and a structured action plan. Output credits usedSkill DetectionThe agent engine detects that a Swiftask skill is needed to take action. No direct creditsSkills ExecutionSwiftask skills execute (search, code, analysis) and return their results. Result added to contextEnriched ResponseThe LLM integrates reasoning + skill results to formulate the final response. Complete context + final outputUser TransmissionThe final response is transmitted to the user with no additional LLM interaction. No credits consumedWhat Actually Drives Your AI Subscription CostsThe 3 key factors identified by our analysisContext LengthThe richer the context (history, instructions), the higher the credit consumptionNumber of IterationsBetween the LLM and Swiftask skills based on your request complexityResponse SizeGenerated at each step of the orchestration processTake Control of Your AI Subscription CostsDiscover our complete transparency with Swiftask experts and create your first AI agents optimized for your budget.Use SwiftaskRequest a Demo