35,000 AI calls last week.

35,000 AI calls last week. 23 million tokens. Zero human in the loop.

Here's what that actually looks like inside lokerdollar.com.

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What those pipelines do:

Job ingestion + enrichment (15 sources) → job boards, Reddit, Hacker News — each with its own AI pipeline to normalize, classify, and enrich

Job summaries → every job rewritten with local salary context, timezone fit, and red/green flags for the candidate

Content generation → draft → critique → polish chain for every blog post

Email automation → AI writes the subject line AND the opening hook for every transactional email individually

User-facing career AI → resume parsing, scoring, tailoring, regeneration → cover letter writing

Self-monitoring → the routing logic itself is AI — a "select" task that decides which provider handles each call

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The part most "AI startup" posts miss:

91% of these tokens never touch a user.

They run quietly — ingesting, normalizing, enriching, translating, scoring, deduping.

User-facing AI (resume tools, cover letters) is barely 1% of the actual workload.

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The moat isn't the chatbot.

The moat is the 30 invisible pipelines behind it — doing boring work consistently, on free providers, 24 hours a day, with no human in the loop.

Most "AI startups" hit a wall because they built a feature. The ones that survive build a pipeline.

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This is the kind of stack I help other solo founders and small teams set up. If you're stuck paying frontier prices for routine work, the routing layer pays for itself within a week.

Drop a comment — happy to share the pattern.

#BuildInPublic #AI #SoloFounder #IndieHacker #Engineering