--- title: AI training & evaluation environments | SpinForge url: https://spin-forge.com/solutions/ai-training-evaluation description: Commission a task environment or evaluation suite in which supported mathematical and decision outcomes are checked by code, not judged only by the fluency… --- [All solution workflows ](https://spin-forge.com/workflows) 03 / BUILD & INTEGRATE AI TRAINING & EVALUATION ENVIRONMENTS # Give agents real tasks. Grade the actual work. Commission a task environment or evaluation suite in which supported mathematical and decision outcomes are checked by code, not judged only by the fluency of an explanation. [Discuss this workflow](https://spin-forge.com/contact?product=workflow-ai-training-evaluation&interface=all&brief=SpinForge+solution+request%3A+AI+training+%26+evaluation+environments%0A%0ACustomer+objective%3A+%0AExisting+system%3A+%0A%0APlease+scope+the+supported+workflow%2C+selected+products+and+delivery+responsibilities.%0AProducts+to+review%3A+UNISOLVE%2C+AgentForge%2C+GARMO+UCS%2C+modalg%2C+SATForge%2C+ValueForge%2C+GraphForge%2C+certcount%0A%0AAcceptance+measures%3A%0A-+Grader+agreement+with+the+accepted+reference+checks%0A-+Rejection+of+invalid+or+bypass+attempts%0A-+Reproducibility+and+held-out+separation%0A-+Episode+throughput%2C+cost+and+unresolved+outcomes%0A%0ATask+design%2C+private+datasets%2C+grader+integration+and+environment+delivery+are+quoted+by+scope.+Existing+product+access+is+priced+separately+where+required+and+not+billed+twice+when+included+in+the+project.) [See what you get](https://spin-forge.com/solutions/ai-training-evaluation?section=workflow-delivery) Available products. A customer-specific workflow. CLI · MCP · Headless BUILT FOR Model post-training teams, agent developers, AI-platform builders and research groups evaluating computational work. THE CHALLENGE / THE RESPONSE ## Start with what needs to change. A useful implementation has a specific job. The scope is built around your original requirements, environment and acceptance criteria. 01 ### Good explanations can hide incorrect answers. A language-based score can miss whether a plan satisfies constraints or an arithmetic result is actually correct. HOW SPINFORGE HELPS Choose a task family with an explicit outcome and an applicable independent check. The score reflects the property being evaluated, rather than presentation alone. 02 ### An evaluation is too close to the training set. Reused instances, leaked answers or hidden shortcuts can make scores look stronger than real generalization. HOW SPINFORGE HELPS Define separate training and held-out cases, control access to reference answers and test the grading path with deliberately incorrect submissions. 03 ### Each new task becomes another integration project. A dataset without reset, action and result conventions is difficult to use in an existing training loop. HOW SPINFORGE HELPS Deliver a versioned environment contract with task inputs, permitted actions, reset behavior, scoring and replay appropriate to the accepted workflow. THE DELIVERY ## Know what you are getting. The final order identifies the selected products, integration work and operating responsibilities. Included components and work are not charged again. 01 ### A bounded task family Supported logic, exact arithmetic, graph, planning or configuration tasks with clearly stated inputs, objectives and constraints. 02 ### Executable graders Checks for the requested property, with explicit treatment of invalid, incomplete, timed-out and unsupported results. 03 ### A versioned evaluation set Agreed generation rules or retained cases, dataset splits, input identities and evaluation conditions. 04 ### Environment integration CLI, MCP or headless product access plus the scoped adapter, reset/replay conventions, documentation and acceptance report. AN ILLUSTRATIVE WORKFLOW ## Can an agent revise a feasible plan? An evaluation presents a supported planning model and then changes a permitted constraint. The agent must return a valid revised decision, not just explain how it would do so. Explanation only—not a live product run or a claimed customer deployment. 01 / 03 ### Define the task and score Agree the supported family, agent actions, resource budget, acceptance rule and separation of training and test data. QUALIFY THE FIT ## Your requirements. An explicit scope. Agree the supported models, execution environment and acceptance measures before committing to the delivery. ### What you bring - Task objective and target agent/model workflow - Allowed actions and time/compute budgets - Dataset rights and split requirements - Grading, reset, replay and anti-leakage requirements ### What we measure - Grader agreement with the accepted reference checks - Rejection of invalid or bypass attempts - Reproducibility and held-out separation - Episode throughput, cost and unresolved outcomes THE BOUNDARY These are scoped environment and evaluation deliverables around available products. They do not imply a universal benchmark, guaranteed training improvement, a frontier-model training service or an already published environment hub. PRODUCTS TO CONSIDER Choose the relevant capability. Not every workflow needs every product. [UNISOLVE](https://spin-forge.com/unisolve) [AgentForge](https://spin-forge.com/agentforge) [GARMO UCS](https://spin-forge.com/ucs) [modalg](https://spin-forge.com/forge15/modalg) [SATForge](https://spin-forge.com/forge15/satforge) [ValueForge](https://spin-forge.com/forge15/valueforge) [GraphForge](https://spin-forge.com/forge15/graphforge) [certcount](https://spin-forge.com/forge15/certcount) HOW TO BUY ## Start with one environment contract. Task design, private datasets, grader integration and environment delivery are quoted by scope. Existing product access is priced separately where required and not billed twice when included in the project. [Review existing plans](https://spin-forge.com/plans?section=access-configure) [All prices & rights](https://spin-forge.com/pricing) PREPARE YOUR SCOPE Delivery preference Preferred access What should this workflow accomplish? What would make the result acceptable? Prepared locally in your browser. Review the message on the contact page and send it through your email application. No model upload, account activation, job execution or payment occurs here. BEFORE YOU BUY ## A few useful distinctions. **Do we have to use a SpinForge model?**No. This offer supports the customer’s training or evaluation process. The environment, tool access and scoring contract are agreed for that process. **Can the environment be private?**A private delivery can be scoped with explicit data rights, access and retention. Open-source publication is not a default requirement. **Does a feasible answer earn an optimality score?**No. Each score must match the property checked. A returned feasible solution cannot be labeled a proven optimum unless the applicable independent proof succeeds. RELATED WORK ## Another way to move forward. Use a capability directly or bring it into a wider workflow. The existing products and commercial agreements remain independently available. [04 ### MCP & agent integrations Connect the selected SpinForge products to compatible AI clients, coding tools and agent workflows through their available MCP interfaces, with CLI and headless alternatives.](https://spin-forge.com/solutions/agent-integrations) [06 ### Embedded decision services Add a bounded optimization, configuration-checking or re-planning capability to the product your customers already use. Keep your user experience; integrate the computational capability behind it.](https://spin-forge.com/solutions/embedded-decisions) [View all 17 solution workflows](https://spin-forge.com/workflows) A CONNECTED CUSTOMER PROGRAM ## A useful outcome. A defined delivery. Commission the model, integration and acceptance work needed for your task. Existing products stay independently available. [03 / Scoped customer program ### Improve a computational workflow Commission a bounded performance improvement with source identity, numerical acceptance and the appropriate checking evidence.](https://spin-forge.com/programs/compute-improvement) [Explore decision programs](https://spin-forge.com/decision-systems)