Shivanath Devinarayanan · Updated
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The durable plane is the deterministic backbone. Temporal Cloud-style workflows hold state across retries, jitter, and compensation. Queues absorb back-pressure. Object stores keep the raw artifact. Relational clusters (Aurora with pgvector when search is local) hold the records the agent is allowed to read.
Not every extraction is an LLM call. Structured named-entity models such as GLiNER belong here when the job is high-volume and the schema is known. Reserve frontier models for the ambiguous remainder. Canonical APIs and anti-corruption work stay on Integration Architecture .
Why it matters
A model timeout is not a business outcome. If the CRM write is not idempotent, a retry creates a duplicate opportunity. If there is no compensation, a partial pipeline leaves money and audit in two different states. The backbone is how the operator can replay what happened.
Cost discipline lives here. Caching, structured extractors, and model routing beat a larger context window. Traces and per-run cost sit with Agentforce observability .
In a generic org
Overnight intake drops a batch of contracts on object storage. A queue feeds an extractor. Temporal runs classify, extract, validate. Failures go to a dead-letter queue, not into a silent skip. A person reviews low-confidence fields. Only then does the CRM agent see a clean record. If the CRM API flakes, the workflow retries. It does not invent a second account.
Multi-cloud fabric
AWS for high-throughput containers, queues, and Aurora. GCP for batch analytics and GKE workers. Railway-style container hosts for scale-to-zero tool servers. Supabase Edge for signature checks and short webhooks. The brand of the cloud is not the architecture. The trail across them is.
Put cost monitors on the fabric, not in a slide. Token accounting belongs with the gateway. Compute waste belongs with the account that provisioned it. Neither is a substitute for a named owner on the agent.
Stack
- Temporal Cloud
- AWS ECS
- Amazon SQS
- Aurora
- Amazon S3
- GKE
- BigQuery
- Railway
- Supabase Edge
How to hire
Hiring starts with a governed production agent on one documented job, then a consultation.
Bring one documented job. Start at stand up production AI agents , then book a consultation . Agentforce is the Salesforce runtime: Agentforce that stays in production .
SHIVANATH DEVINARAYANAN · SALESFORCE MVP HALL OF FAME ·
SD
SHIVANATH DEVINARAYANAN · SALESFORCE MVP HALL OF FAME ·
SD
Stand up the first production agent
Hiring starts with a governed production agent on one documented job, then a consultation.
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