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Pick one niche, list 20 jobs people complain about, then score each on: frequency, pain cost, clear success metric, software access needed, and who owns the budget — the top scorer is your agent idea.
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Before building, run the agent manually using Claude or ChatGPT for 5+ real cases and have a human approve outputs — this tests whether AI actually helps before you invest in building software.
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Create an eval set of 50 real examples with correct answers labeled, then run every prompt or model change through it — this is also a powerful sales asset to show prospects concrete accuracy numbers.
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Sell the first pilot as an outcome ('we will answer and qualify your missed calls') with a setup fee (~$1,500) plus monthly retainer (~$1,000), then layer in outcome-based pricing once you understand the value delivered.
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For distribution, create workflow teardown content showing the painful old way vs. the agent-powered new way — owners and managers feel that pain viscerally and it drives inbound interest without cold outreach.