LLMs are Terrible Backends: Forcing Strict JSON Output
When you use LLMs as API endpoints, their probabilistic nature breaks downstream systems. Here is how to enforce strict JSON output through grammar-constrained generation and structured outputs.
Tag: agentic-ai
· StrategyThe True Cost of Agentic Workflows
Hidden compute and API costs accumulate fast when deploying autonomous agent loops in production. A candid look at the real economics of agentic workloads.
Handling Context Window Limits in Multi-Agent Loops
Architectural patterns for summarizing, pruning, and passing context between collaborative subagents without hitting OOM errors.
· StrategyThe End of Prompting: Shifting to Objective-Driven AI
Why prompt engineering is a transitional skill and objective formulation is the future of human-computer interaction.
· Rajat Pandit · AI EngineeringBuilding an Autonomy Dial: Safely Shipped Agentic Architecture
You don't jump blindly from full 'Human-in-the-Loop' safety to completely autonomous API execution. You engineer a dial—and you turn it up one notch at a time.
· Rajat Pandit · Agentic AIThe Supervisor vs. Swarm Debate: Routing in Multi-Agent Systems
An organic, decentralized mesh of democratic agents reads brilliantly in an academic paper. But in enterprise production, democratic agents lead to infinite loops and massive API bills.