Proposed Approach

Syntherion’s architecture begins by addressing a critical limitation in today’s AI agents: their inability to retain and reason over the historical evolution of the systems they generate. To overcome this, Syntherion introduces a persistent memory substrate (PMS) that records every decision made in the past, the rationale behind those decisions, and how those reasons are mapped to specific implementation details. This allows Syntherion’s agents to modify, extend, or refactor systems without losing alignment with past design intent. Rather than blindly regenerating or patching code, agents can reason through tradeoffs over time, preserving coherence and ensuring systems remain adaptable and intelligible even as requirements shift.

Building on this foundation, Syntherion redefines how software systems are created and maintained by eliminating the need for human developers to remain in the loop. Rather than handing developers opaque, AI-authored codebases that erode their understanding and effectiveness, Syntherion replaces informal communication and implicit logic with a structured, machine-actionable representation of business needs. The system accepts only unambiguous Goals and Constraints (GAC) as input, and from that point forward, it owns the entire lifecycle of design, implementation, deployment, and maintenance. All artifacts remain transparently linked to their original intent and versioned across time.

Syntherion comprises six components that define and record IT assets, generate them, and continuously maintain and evolve them.

Atomic Goals and Constraints

At the core of Syntherion lies the concept of atomic goals and Constraints (GAC). Every system change begins with a business analyst (BA) submitting a new GAC unit. Each GAC encapsulates a single, well-defined business goal, such as “Allow login with Google”, paired with its relevant constraints, such as “Comply with GDPR.” In this initial version (V1), GAC units are strictly atomic to simplify automation and ensure clarity.

Conflict Resolution with Historical GAC

To support this, the AI enforces rigor in interpretation. Vague or ambiguous inputs are immediately rejected, prompting the BA to iteratively refine the GAC statement until it becomes precise and unambiguous. This ensures that every downstream action, planning, generation, and deployment rests on a solid, machine-readable foundation.

Once a GAC unit is validated, Syntherion will resolve the conflict against the historical GAC repository. The AI compares the new goal and constraints against prior submissions to detect logical contradictions or functional overlap. If a conflict is identified, for example, a new goal that violates an earlier constraint, the BA is alerted. The AI assists in revising the new GAC, adjusting conflicting historical entries, or overriding past decisions with documented justification. This step prevents system drift and maintains long-term internal coherence.

Artifact Planning

With an approved GAC in place, Syntherion proceeds to artifact planning. The system automatically produces a comprehensive implementation blueprint that outlines which frontend and backend components need to be created or modified, what cloud infrastructure must be provisioned or updated, which API integrations are required, and what security or performance considerations must be met. Non-functional requirements, such as latency, cost limits, and regulatory constraints, are factored in automatically. Future releases will introduce negotiation loops to allow BAs to adjust these parameters dynamically.

BA Review and Approval

Before any code is generated, the BA is presented with a consolidated review. This includes a summary of code modules to be generated, infrastructure changes, affected APIs and services, and an estimated performance and cost envelope. The BA can either approve the plan or defer deployment. Over time, Syntherion will introduce support for goal-oriented negotiation, allowing the BA to request a cheaper plan with comparable throughput.

Generation and Deployment

Code, infrastructure, and configuration artifacts are generated and deployed automatically upon approval. Deployments are versioned, rollback-safe, and recorded in a structured manner to ensure traceability and future auditability.

Mapping, Traceability, and Versioning

Every deployment is mapped precisely back to its originating GAC unit and versioned for traceability. This mapping is stored in a searchable structure, enabling robust change impact analysis, compliance audits, and automated refactoring in subsequent updates. It ensures that stakeholders can always trace system behavior back to business intent.

Designed for Long-Term Evolution

Finally, while V1 focuses on atomic goals and BA-in-the-loop validation, Syntherion is engineered for long-term evolution. Future capabilities include support for hierarchical goals with semantic interdependencies, large-scale cross-GAC optimization, and multi-dimensional negotiation loops that balance cost, performance, and system accuracy. Additionally, built-in refactoring tools will help maintain architectural integrity as systems grow. Over time, security, compliance, and performance guarantees will evolve into first-class outputs of Syntherion’s pipeline, making it a truly adaptive, self-sustaining IT generation framework.