An LLM model routing guide for systems that should not send every request down the same answer path
Many users search for model routing by asking which model is strongest. DepthPilot focuses on a harder question: which requests deserve the strong path, which should take the cheaper path, and which should not answer directly at all.
Search Cluster
Prompt Engineering Course
A prompt engineering course that goes beyond longer prompts
LLM Limitations
LLM limitations are not just about hallucinations. They are about knowing when the model should not answer directly.
Structured Outputs Guide
A structured outputs guide that goes beyond 'make it look like JSON'
Retrieval and Grounding Guide
A retrieval and grounding guide that goes beyond dumping documents into RAG
AI Workflow Course
An AI workflow course built for real delivery, not better chatting
Agent Workflow Design
Agent workflow design is not about letting the model guess the next step
Context Architecture
Context architecture is not about stuffing more text into a prompt
AI Eval Loop
AI eval loops decide whether you are improving a system or just guessing
Context Engineering vs Prompt Engineering
Context engineering vs prompt engineering: where the line actually is
AI Workflow Automation Course
An AI workflow automation course focused on maintainable systems, not button demos
OpenClaw Tutorial
An OpenClaw tutorial that goes beyond setup into debugging and skills
Supabase Auth Tutorial
A Supabase Auth tutorial that goes beyond building a login page
Creem Billing Tutorial
A Creem billing tutorial focused on webhooks and entitlement, not just checkout
AI Eval Checklist
An AI eval checklist for deciding whether the system actually improved
LLM Observability Guide
An LLM observability guide focused on replayable failures, not just more logs
Prompt Injection Defense
Prompt injection defense is not another line saying 'ignore malicious input'
LLM Model Routing Guide
An LLM model routing guide for systems that should not send every request down the same answer path
LLM Latency and Cost Guide
An LLM latency and cost guide that removes waste before chasing model price
Human in the Loop AI
Human in the loop is not a slogan. It is escalation rules, review queues, and handoff packets.
RAG Freshness Governance
RAG is not grounded just because it retrieved something. Freshness governance is the real control.
LLM Evaluation Rubric
An LLM evaluation rubric is not scorecard theater. It drives repair order and launch decisions.
What This Path Builds
Why This Topic Matters
Why a single model path becomes both expensive and unstable
Sending every request through one strong answer path may look simple, but it often produces overspending, over-answering, and chaotic fallback behavior at the same time.
Why This Topic Matters
What really needs to be designed: task classes
Mature systems define low-risk transforms, evidence-backed answers, tool actions, and human-review cases first, then map each class to the right path.
Why This Topic Matters
Why unsupported-answer policy matters
Reliable systems do not force every output into a direct answer. They preserve the right to clarify, retrieve, abstain, or escalate.
Where To Go Next
Questions Learners Usually Ask
Do only large teams need model routing?
No. As soon as one system mixes low-value tasks with high-risk or evidence-dependent tasks, routing becomes useful.
Does abstention make the product look weak?
Unsupported answers usually look weaker. Explicit abstention, clarification, or escalation often makes the product look more trustworthy.