Notes on tech partnerships, revenue, and relationships.
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Agent-ready SaaS: structuring your product for AI agents
An independent guide to making a SaaS product agent-ready. Clean data, stable IDs, tool-friendly actions, clear permissions, and an MCP surface an AI agent can use without breaking things.
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Designing MCP tool definitions agents can actually use
An independent guide to designing MCP tool definitions an agent can actually use. Naming, descriptions, typed schemas, scoping the surface, and mapping each tool to a real endpoint.
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Rate limits and quotas partners can design around
An independent guide to API rate limiting partners can design around. Limit strategies, the headers to return, backoff and retries, tiered quotas, and how to communicate limits clearly.
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Writing a marketplace listing that converts
An independent guide to writing a marketplace listing that converts. Workflow-first copy, the right screenshots, social proof, clear pricing, and keywords that help the right buyer find and choose your app.
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Partner onboarding: the first 30 days
An independent guide to partner onboarding for B2B SaaS. A 30-day plan to get a new partner enabled and selling, with the owners and milestones that turn a signed agreement into pipeline.
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How to run a partner QBR that drives revenue
An independent guide to running a partner QBR for B2B SaaS. A lightweight agenda, the metrics to review, building a joint plan, and the follow-up discipline that turns a quarterly meeting into pipeline.
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Building a Slack app: a scope-to-launch playbook
An independent playbook for building a Slack app. Decide if it fits, choose bots, slash commands, or events, request the right OAuth scopes, pass review, and list in the directory.
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Integrating with Stripe and its partner ecosystem
An independent playbook for integrating with Stripe. Common integration patterns, when to build direct versus list an app, the Stripe App Marketplace, and the wider partner ecosystem.
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Securing an MCP server: scopes, approvals, and guardrails
How to secure an MCP server that exposes your product to AI agents. Per-user scopes, write approvals, never-expose actions, audit logging, and secret handling.
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