back_office_ops · saas · workflow
Grab evolves SpellVault from no-code LLM app builder to agentic AI platform with MCP support
SpellVault's original no-code LLM app builder, running on a legacy single-step executor, was insufficient to keep pace with the rapidly evolving agentic AI landscape and the more complex, dynamic use cases teams needed to build.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · No-code app creation
Users build and manage AI-powered apps without coding via SpellVault's no-code interface.
Tools used
SpellVaultRAGSlackKibanaGoogle DocsPythonReAct agentsMCPTinyMCPFastAPIJiraDeep Research
Outcome
SpellVault evolved into a full agentic platform—with ReAct agents, a unified Native Tools framework, and MCP service support—enabling thousands of apps for automation, experimentation, and production use cases across Grab.
Grounding & classification
Source type: technical build writeup
34 fields verified against source quotes.
agentic workflowai agententerprise searchknowledge searchmulti agent workflowragknowledge basebuilder submittedmetric backednamed customerproduction runtime claimedtools describedworkflow describedfinancial serviceslogisticssoftwareautomation rateemployee productivitytechnical build writeupback office opsagentic task executionrag answering