Design the workflow
Map the customer path, service steps, queues, approvals, and completion points before the first run touches real work.
Build AI systems that stay understandable after launch.
EngineGrids gives developers one place to build, launch, and inspect AI systems through a SQL-native control plane. Replace fragile provider glue with platform state that keeps production work readable.
Day-one developers
Give builders a real design surface for the first system they need to ship.
EngineGrids lets developers model workflows, runtime grids, agents, evidence logs, approvals, and handoffs in the same workspace where the system will be built, inspected, and prepared for production.
Inspect every element
Keep names, trigger modes, durability rules, retry policies, and evidence requirements visible while the design is still changing.
Build before deploy
Use build checks and assistant feedback to catch missing mappings and deployment blockers while the system is still safe to change.
Developer story
The deterministic runtime for AI systems that stay production-credible.
EngineGrids gives developers more speed at the front and more operational clarity at the back. We replace brittle integration glue with a governed operating surface built for the long horizon.
Manage installs, runtime behaviour, and provider actions through a deterministic data interface.
Replace fragmented provider libraries with governed app surfaces and durable platform state.
Every action is an auditable row.
Inspect, replay, and explain production behaviour with zero runtime fog.
Let the platform resolve services, apps, and bindings in dependency order.
Speed at the front should not become unmanaged runtime behaviour after launch.
Developer proof
Build quickly without handing the business an unexplainable runtime later.
Install capability
Subscribing to a service through grid.services auto-installs the app surfaces and bindings the grid needs.
SQL
insert into grid.services (name, plan)
values ('stripe', 'production');Perform actions
Instead of calling brittle SDKs, insert intent into governed tables. Sidecar handles the provider work.
SQL
insert into stripe.invoices (customer_id, amount, currency)
values ('cust_123', 4200, 'usd');Audit and replay
Every action produces a durable audit row. Inspect intent, execution, and provider response in one place.
SQL
select * from platform.audits
where object_id = 'inv_123'
order by created_at desc;Use tables as the operating interface
Represent capability, intent, execution, and history in platform state that teams can inspect and query.
Keep runtime behavior deterministic
Run AI work through grids, services, and app surfaces that make system behavior easier to reason about.
Attach capabilities in dependency order
Install marketplace and provider capabilities where the grid can see requirements, regions, and operating notes.
Preserve the action trail
Inspect, replay, and explain production behavior with clear runtime history.
Day-one speed should not create day-two fog.
EngineGrids helps developers move quickly while keeping runtime behavior visible to the operators and business owners who inherit the system.
Install capability where the grid can manage it
Attach services, templates, agents, and packaged operations through platform-managed surfaces.
Write intent before side effects happen
Use durable platform state to express what should happen before an external system changes.
Let governed execution carry provider work
Keep provider complexity behind controlled app and service paths instead of custom glue for every workflow.
Audit behavior without reverse engineering it
The system should explain what it did, why it did it, and what changed after it ran.
Move quickly without handing the business a black box later.
Read documentation, inspect the open standard, or review the trust model behind production AI systems.
Read the operating docs
Explore guides for grids, users, agents, and platform workflows.
Open docsInspect the open layer
Review the schema and operating model behind portable, inspectable AI operations.
See the standardConnect architecture to responsibility
Understand how controls, records, and review paths keep important actions explainable.
Explore trustMove quickly now without leaving day-two operators guessing later.
Build the first system with clear runtime controls, readable action history, and enough structure for operators to trust it when real work begins.