The SpinStack Platform
The platform hundreds of businesses use to build AI agents for complex, long-horizon work — with autonomous evaluation and self-correction built in.
A platform for long-horizon agents
SpinStack turns a plain-English description into a multi-step agent. It selects the right tools, wires up branching and memory, generates an evaluation harness from your business context, and iterates on the workflow until it converges on reliable behavior. With the platform, you can:
Describe in plain English
Sketch the task as you would for a teammate. SpinStack picks the tools, lays out the steps, and assembles the workflow in one pass.
Evaluate against business context
Test inputs and scoring rubrics are derived from what the agent is supposed to do — not generic prompts. Quality is measured against your actual goal.
Self-correct from traces
When a run fails or quality drops, SpinStack reads the execution trace, isolates the cause, applies a fix, and re-runs to confirm the workflow converged.
Trusted by hundreds of businesses
Teams use SpinStack to run sophisticated, multi-step workflows end to end — from research and monitoring to document processing and outreach.
Long-Horizon Workflows
Agents that plan across many steps, branch on intermediate results, and carry state through complex work without losing context.
- Multi-step planning with conditional branching
- Persistent memory across tool calls and runs
- Parallel and sequential execution of dependent steps
- Workflow editing in plain English from the chat panel
How it works
SpinStack assembles the workflow, evaluates outputs against your business context, and self-corrects on failures — closing the loop until the agent runs reliably.
Autonomous Evaluation
SpinStack reads your description of the agent's purpose, generates grounded test inputs, scores every run, and flags regressions before they ship.
- Test inputs generated from your business context
- Per-run scoring against task-specific rubrics
- Regression tracking across workflow edits
- Failure-mode summaries so you know what to fix
How it works
SpinStack assembles the workflow, evaluates outputs against your business context, and self-corrects on failures — closing the loop until the agent runs reliably.
Self-Debugging From Traces
When a run fails or quality drops, SpinStack inspects the execution trace, isolates the cause, and applies a fix — then re-runs to confirm.
- Automatic root-cause analysis from step-level traces
- Targeted edits to the failing step rather than the whole workflow
- Re-runs and re-scoring after every fix to confirm convergence
- Audit trail of every diagnosis and edit
How it works
SpinStack assembles the workflow, evaluates outputs against your business context, and self-corrects on failures — closing the loop until the agent runs reliably.
Built-in Observability
Every run captures a structured trace — tool calls, latency, costs, outputs, and decisions — so behavior is inspectable end to end.
- Step-by-step execution traces with tool inputs and outputs
- Success rate, latency, and cost per run
- Failure clustering so recurring issues surface immediately
- Live dashboards across runs and over time
How it works
SpinStack assembles the workflow, evaluates outputs against your business context, and self-corrects on failures — closing the loop until the agent runs reliably.
Thousands of Tools, Ready to Call
Slack, Gmail, web scrapers, search, code execution, memory, and more — wired in with managed credentials so agents can act in the real world.
- 10,000+ integrations available without writing API code
- Managed OAuth and credential rotation
- Custom tool registration for internal APIs
- Per-tool usage metering for cost and audit
How it works
SpinStack assembles the workflow, evaluates outputs against your business context, and self-corrects on failures — closing the loop until the agent runs reliably.
Ready to build a robust agent?
Describe a long-horizon task and SpinStack will assemble, evaluate, and harden the agent for you.