--- title: Decision-sensitive computation | SpinForge url: https://spin-forge.com/system-synergies/decision-sensitive-compute description: A useful system should be able to ask whether it needs another sample, a refined numerical result, a different search, more proof work—or no additional… --- S2 / SYSTEM CONNECTION [Explore all 64 product roles](https://spin-forge.com/system-synergies/product-map) # Not more precision. The precision that matters. A useful system should be able to ask whether it needs another sample, a refined numerical result, a different search, more proof work—or no additional computation. The next operation should respond to the decision and its evidence requirements. Cross-product integration / customer qualification Existing products · CLI · MCP · Headless The products retain their available interfaces. These connections describe integration and evaluation opportunities—not a claim that every combined runtime has been delivered. EXISTING PRODUCT CONNECTION ## Discovery has both generation and evaluation. SpinForge Bio generates ranked binder candidates, AMDE + ALCHEMI provides physics-grounded scoring, and AMDE and Bio use Discovery Core. GARMO Scientist supplies the perceive–hypothesize–experiment–learn cycle. A decision-sensitive integration defines which additional computation is useful and how its conclusion is accepted. [Explore the eleven products ](https://spin-forge.com/synthesis) THE CUSTOMER CHALLENGE ## What separate tools can miss. A fixed simulation resolution or blanket precision target may spend work on quantities that cannot change the preferred action. At the same time, a small unresolved uncertainty near a decision boundary can be decisive. THE COMBINED APPROACH TO EVALUATE ## Connect the right responsibilities. Connect supported estimation, numerical evaluation and constraint-solving operations around an approved decision model. Establish which unresolved quantities matter, then compare an explicit next-computation policy against a fixed-work baseline. Avoid unnecessary refinement without lowering the customer’s stated decision or evidence standard. HOW THE PRODUCTS RELATE ## The useful intersection. Existing components have distinct jobs. The proposed integration connects their responsibilities without treating access interfaces as proof of a shared runtime. 01 ### Estimate the current state TomoForge or enkf_scale can contribute a supported reconstruction or state estimate. Model calibration and uncertainty validity are separate requirements. 02 ### Refine a relevant quantity SpectralForge, krylov_scale/Krylov and certmc provide selected numerical or statistical operations—not interchangeable guarantees. 03 ### Choose and check the decision UCS, UNISOLVE, MIP or a relevant specialist engine evaluates the admitted decision. ValueForge or certnum: MDP is a candidate planner only for a calibrated bounded abstraction. 04 ### Operate the sequence AgentForge can support the work lifecycle, while resource policies and customer spending limits constrain the permitted next operations. INTERACTIVE STUDY / NOT A PRODUCT BENCHMARK ## See the connection. A local browser illustration of the idea. No customer model is uploaded and no SpinForge engine is invoked. Lower bound on θ 0.10 Upper bound on θ 0.40 0 ≤ θ ≤ 1. The marked boundary is θ = 0.75. Exactly two feasible actions are stipulated. Their costs are A(θ) = 100 + 10θ and B(θ) = 106 + 2θ. A − B = −6 + 8θ, so the ordering changes at 3/4. This calculation neither estimates θ nor validates the uncertainty interval you choose. ILLUSTRATIVE DECISION ### A is no more expensive throughout the interval. Additional precision is unnecessary for this comparison under the stated assumptions. Decision stable for the specified two-action model. WHAT YOU COMMISSION ## An evaluation. A defined delivery. Not another mandatory product license. Scope the model, integration, acceptance and deployment needed for the actual customer workload. 01 ### A decision boundary model Identify the possible actions and quantities that can alter their ordering or feasibility. 02 ### A computation policy to test Specify permitted refinement, sampling, search and proof steps with their expected costs. 03 ### An evidence-aware stopping rule Stop only when the agreed decision and evidence conditions hold—or return an explicit unresolved result. 04 ### A matched workload report Compare accepted decisions, total work and uncertainty handling against the fixed-work baseline. ILLUSTRATIVE CUSTOMER WORKFLOW ## Choose between two supported actions An uncertain parameter may or may not change which action is cheaper. The browser illustration below shows a deliberately simple two-action model. It explains why uncertainty near a boundary matters; it does not execute an optimizer or establish a general policy implementation. ACCEPTANCE MEASURES - Total resources per accepted decision - Decision agreement under accepted uncertainty - Cost of refinement and checking - Coverage and stopping-rule validity SCOPE & EVIDENCE ## Clear at every boundary. Documented components and proposed cross-product work are not the same evidence. ### What the source supports Numerical, planning and checking components are in the supplied portfolio. Their decision-aware orchestration is proposed. The affine browser example uses declared mathematical assumptions only. ### The integration to establish Error/uncertainty contracts, decision-sensitivity analysis, calibrated action costs and a bounded next-computation policy. ### What must not be assumed A small residual is not automatically a solution-error bound. An ensemble spread is not automatically a certified uncertainty region. Adaptive sampling requires a valid stopping/coverage argument; empirical estimates cannot silently become exact proof inputs. ### Products remain independently usable Choose only the components that fit. Original and upgrade products are not additive speedups. No generalized benefit, hosted activation, certification or execution authority is implied. SELECTED CAPABILITIES ## Find the product role. These links identify candidate contributors. They do not mean every product is required or that every connector already exists. [SpinForge + Atlas](https://spin-forge.com/spinforge) [SpinSovereign](https://spin-forge.com/spinsovereign) [SpinProof](https://spin-forge.com/spinproof) [SpinCache](https://spin-forge.com/spincache) [GARMO UCS](https://spin-forge.com/ucs) [GarmoForge](https://spin-forge.com/garmoforge) [UNISOLVE](https://spin-forge.com/unisolve) [sketchstream](https://spin-forge.com/forge15/sketchstream) [bnb_certified](https://spin-forge.com/forge15/bnb-certified) [ValueForge](https://spin-forge.com/forge15/valueforge) [krylov_scale](https://spin-forge.com/forge15/krylov-scale) [SpectralForge](https://spin-forge.com/forge15/spectralforge) [TomoForge](https://spin-forge.com/forge15/tomoforge) [sinkhorn_ot](https://spin-forge.com/forge15/sinkhorn-ot) [enkf_scale](https://spin-forge.com/forge15/enkf-scale) [certmc](https://spin-forge.com/forge15/certmc) [KX MemoryForge](https://spin-forge.com/kx-memoryforge) [GridForge](https://spin-forge.com/gridforge) [AgentForge](https://spin-forge.com/agentforge) [MaxSAT](https://spin-forge.com/solvers/maxsat) [CertOT](https://spin-forge.com/solvers/certot) [Krylov](https://spin-forge.com/solvers/krylov) [certnum: MDP](https://spin-forge.com/solvers/certnum) [certnum: log-Z](https://spin-forge.com/solvers/certnum) [Batch tiny-instance](https://spin-forge.com/solvers/batch) [Conic + model layer](https://spin-forge.com/solvers/conic) [MIP](https://spin-forge.com/solvers/mip) [View the full interaction map](https://spin-forge.com/system-synergies/product-map?mechanism=S2) [Related customer program](https://spin-forge.com/programs/compute-improvement) TAKE THE IDEA TO YOUR WORKLOAD ## Define what must improve. Start with an original model or workload, an accepted baseline and the protected requirements. Agree the comparison before promising a system-level gain. [Prepare an evaluation brief](https://spin-forge.com/system-synergies/evaluation?mechanism=S2)