#Cost Optimisation

Cloud cost optimisation is the practice of reducing infrastructure spend without sacrificing reliability or performance. Articles here cover FinOps strategies for BigQuery, multi-cloud egress reduction, reservation planning, and query-level cost attribution that have delivered measurable savings in production environments.

5 posts tagged with cost optimisation. ← All posts

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Pratik Dhanave · ·5 min read

Tell the Agent What It's Allowed to Do

If your gateway will block a tool call, don't make the agent discover that by trying. Hand it a capabilities brief and stop paying for turns it can't complete.

If your gateway will block a tool call, don't make the agent find out by trying, because each blocked attempt is a wasted turn. A capabilities brief aligns what the model thinks it can do with what enforcement actually allows.

#Agentic AI#Guardrails#Cost Optimisation#Tool Use
Pratik Dhanave · ·6 min read

The Cheapest Reliable Executor Wins

Deterministic rules get first refusal at zero model cost. Only the unknown cases escalate to graduated AI agents. A human approves anything that mutates.

Deterministic rules get first refusal at zero cost and still fire when the model is down; only the novel long tail escalates to graduated agents; a human approves anything that mutates. Build a ladder, not a model call.

#Agentic AI#Cost Optimisation#Architecture#Reliability

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.