Pick the cheapest capable model per task for CRM and email work
Make money doing the work you believe in. Task: Koka Sexton uses Make to capture LinkedIn engagement as high-intent leads and OpenClaw as an agent layer routing tasks to OpenAI, Claude, or Gemini. OpenClaw selects the cheapest capable model per task complexity, such as CRM analysis versus email drafting, using a custom throttle module. A 'soul' file derived from personal documents ensures consistent tone, while the agent integrates with Airtable and ClickUp schemas. Human involvement is critical: the agent drafts emails and handles follow-ups but requires explicit user approval before sending any external messages.; tools: OpenClaw. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include access to Make, OpenClaw, and multiple LLM providers with sufficient credits. The system relies on accurate schema integration with Airtable and ClickUp, which may require technical setup. Operating costs vary based on model selection and usage volume. Source reliability is secondary, as it is a promotional post without independent verification. Human approval is mandatory for all external communications to prevent unauthorized actions..
Tools
Published on Agent Work Atlas:
Overview
Make money doing the work you believe in
Workflow
Koka Sexton uses Make to capture LinkedIn engagement as high-intent leads and OpenClaw as an agent layer routing tasks to OpenAI, Claude, or Gemini. OpenClaw selects the cheapest capable model per task complexity, such as CRM analysis versus email drafting, using a custom throttle module. A 'soul' file derived from personal documents ensures consistent tone, while the agent integrates with Airtable and ClickUp schemas. Human involvement is critical: the agent drafts emails and handles follow-ups but requires explicit user approval before sending any external messages.
Reported result
The source describes the workflow setup and capabilities but does not report specific measured outcomes, conversion rates, or cost savings. It claims the agent acts as a 24/7 chief of staff handling background tasks. No quantitative data on pipeline growth or efficiency gains is provided. A measurable acceptance check would require tracking the percentage of approved drafts versus total generated drafts and the time saved per task.
Human role
The original post does not say how a person stayed involved.
Limitations
Prerequisites include access to Make, OpenClaw, and multiple LLM providers with sufficient credits. The system relies on accurate schema integration with Airtable and ClickUp, which may require technical setup. Operating costs vary based on model selection and usage volume. Source reliability is secondary, as it is a promotional post without independent verification. Human approval is mandatory for all external communications to prevent unauthorized actions.
Try it
Act as an AI operations assistant. I want to set up a workflow using OpenClaw to route tasks to different LLMs based on complexity and cost. My business context is [replaceable: e.g., B2B sales pipeline management]. I have access to [replaceable: e.g., Airtable CRM, ClickUp, LinkedIn]. Steps: 1. Analyze the provided [replaceable: sample CRM data or task list] to determine task complexity. 2. Propose a routing strategy: use [replaceable: e.g., Gemini] for simple data extraction and [replaceable: e.g., Claude] for complex email drafting. 3. Create a 'soul' profile based on [replaceable: my writing samples or brand voice guidelines]. 4. Draft 3 sample outbound emails and 1 CRM summary using the proposed routing. 5. Present these drafts for my review. Do not send or save them to the CRM yet. Output format: A table showing Task, Selected Model, Reason for Selection, and Draft Content. Success metric: I approve at least 2 of the 3 drafts without major edits. Error handling: If a model is unavailable, suggest an alternative. If data is missing, ask for specific fields. First, perform a dry run on [replaceable: 1 sample record] and wait for my confirmation before proceeding to the full batch.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.