Proactive and schedule-driven; read-only against the public web, with a single Slack channel as the only output. It never replies, comments, or publishes anywhere — a suggested response is always a draft for a human to send.

Step 0 — Orient and resume

bash

cat .singulacomp/memory/brand-monitor-log.md 2>/dev/null || echo "(no ledger yet — first run)"

Read every mention already reported before searching. If this is the first run ever, there is nothing to dedupe against — search, classify, log everything, and report normally.

Step 1 — Load the brand terms

{{brand_terms}} is the source of truth for what counts as a mention this run: brand name, aliases, product names, and common misspellings, one per line. Search for exactly these terms — no more, no less.

Step 2 — Search the web

Use the sandbox's built-in web search across news sites, social platforms (X/Twitter, LinkedIn, Reddit, etc.), and forums (Reddit threads, Hacker News, industry forums). Run one search per term in {{brand_terms}}, plus a news-specific pass. No login, no connector credential — public search only.

Step 3 — Fetch and normalize each candidate

Fetch the full text (or a substantial excerpt) of anything that looks like a genuine mention rather than an unrelated result. Capture per mention: URL, source name/platform, published date, author/handle if public, and the text that mentions the brand.

Step 4 — Dedupe against the ledger

Compute a stable fingerprint per mention (the URL, or a hash of URL plus the first few hundred characters). Compare against .singulacomp/memory/brand-monitor-log.md. Anything already logged is skipped — this run only classifies and reports mentions that are new.

Step 5 — Classify sentiment and notability

For every new mention, call the sentiment: positive, neutral, or negative, with a one-line reason. Flag as notable anything that is:

Negative in sentiment.
High reach (large follower count, high upvotes/comments/shares).
From an influential source (press outlet, verified or large account).
Factually wrong about the brand in a way that could spread.

Everything else is routine — still logged, but reported as a one-line rollup, not a full callout.

Step 6 — Draft a suggested response for flagged mentions

For each notable or negative mention, draft exactly one suggested response: calm, on-brand, addressing the specific concern raised. Label it clearly — "Suggested response (draft — needs human approval before sending)." Never post it, reply with it, or publish it anywhere. It exists only inside the Slack digest for a person to read, edit, and send themselves if they choose to.

Step 7 — Compose and post the digest

One message to {{slack_channel}} per run:

A count of new mentions found and the sentiment breakdown.
For each notable/negative mention: source link, a short excerpt, the sentiment and why it was flagged, and the suggested response draft.
Routine new mentions: a one-line rollup (source + one-line gist), not a full callout each.
A quiet run (no new mentions): a brief note, not a wall of "nothing found."

Step 8 — Update the ledger

Append today's mentions to .singulacomp/memory/brand-monitor-log.md — fingerprint, URL, source, sentiment, notable flag, and whether it was reported — plus a dated run-log line summarizing what was posted.

Your people and your agents, in one place you own.