SIGNAL content engine
An agent pipeline that reads news, community and video sources, picks what matters to the company’s buyers and drafts LinkedIn posts in each founder’s voice for human review.
- 1The problem
The founders wanted a consistent, credible LinkedIn presence, but finding relevant news and drafting posts that sounded like them took hours every week.
- 2Our contribution
Designed and built by Kumar Sahil.
- 3What we built
A scheduled cycle: fetch from RSS, Reddit and Hacker News → de-duplicate → a rules-based quality gate → model ranking → drafting through a multi-step writer chain (strategy, writing, humanising, editing) → a voice-fidelity check → a Slack digest for review. A company knowledge base and a per-call cost ledger sit underneath.
- 4The result
In production. Results shared on request.
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Invariant-checked evaluation suites for tool-calling agents that run in CI and fail the build when an agent invents a number, leaks its prompt or obeys an injection.Read the case studyFind the workflow worth automating first.
Tell us about one process that costs your team hours every week. We will tell you honestly whether AI or automation is the right fix, and what a first build would take.