LLM costs
Cost per action, not only per token
The right operating unit is the cost of a useful prioritization, validated brief, or accepted draft. This prevents choosing a cheap model that creates too many corrections.
Estimate AI cost before automating a LinkedIn workflow.
A profitable AI workflow is not judged only by price per token. You need to track call volume, context size, retries, human validation, and cost per useful action.
LLM costs
Compare quality and human validation
A more expensive model can be profitable if it reduces rework, targeting errors, and rejected messages. The test should track human validation rate, not only raw cost.
LLM costs
Set limits before volume
Each MCP workflow should have thresholds: budget per list, maximum call count, dry-run mode, logging, and automatic stop when quality drops.
Verified facts
What this documentation should make explicit.
PurposeA profitable AI workflow is not judged only by price per token. You need to track call volume, context size, retries, human validation, and cost per useful action.
Workflow proofThe right operating unit is the cost of a useful prioritization, validated brief, or accepted draft. This prevents choosing a cheap model that creates too many corrections.
Assistant promptEstimate the cost of a Yadulink MCP workflow that triages LinkedIn leads, prepares briefs, and generates drafts, separating AI calls, context, human revisions, and budget guardrails.
Verification method
How to turn the guide into an operational test.
- 01 Cost calculation List AI calls per action: triage, summary, draft, scoring, audit, or enrichment.
- 02 Cost calculation Estimate context sent, output size, and number of leads processed.
- 03 Cost calculation Add error costs: retries, human revisions, and false positives.
Ask your preferred AI.
Docs linking
Guides to read next.
AI providers
Choose an AI provider for Yadulink MCP
Choose the right AI assistant for each Yadulink workflow.
MCP
Set up Yadulink MCP with Claude, ChatGPT, and AI assistants
Connect Yadulink to Claude, ChatGPT, or an MCP-compatible assistant.
AI prompts
AI prompts for Yadulink: prioritize leads, sequences, and LinkedIn signals
Ready-to-adapt prompts for running Yadulink with AI.
MCP tools
Yadulink MCP tools catalog for AI agents
Understand which Yadulink tools to expose to an AI assistant.
API
Yadulink API authentication: keys, scopes, and best practices
Use Yadulink API keys without exposing your LinkedIn account.