Practical writing on web development, product design, automation and applied AI.
Artificial Intelligence
A limitations-first guide to Facebook group monitoring: what public groups realistically allow, why closed groups need genuine membership, and building a manual shortlist that actually works.
10 min read
Artificial Intelligence
Tracking category and problem language where no brand is named: what to build queries around, why unbranded precision is harder, and the shift to named-solution language worth watching.
10 min read
Artificial Intelligence
The four layers bundled into 'Instagram monitoring': owned-account activity, explicit tags, untagged mentions and category conversation — each with a different mechanism and different reliability.
10 min read
Artificial Intelligence
Why B2B monitoring on LinkedIn needs its own design: four conversation types to track separately, and supporting employee advocacy without surveilling it.
9 min read
Artificial Intelligence
Why sentiment model accuracy varies by language, how to validate each language separately, and how to avoid comparing languages in a way that confuses model accuracy with real customer sentiment.
10 min read
Artificial Intelligence
Why pseudonymous forum conversation often surfaces feedback first: finding the communities that matter, reading thread structure, and verifying claims before acting on them.
10 min read
Artificial Intelligence
Why the average review score hides more than it shows: reading the rating distribution, extracting themes from review text, and prioritising responses by what actually drove the rating.
10 min read
Automation
Building an early-warning system, not just a communications plan: a crisis definition, five signals read together, severity tiers and a war-room protocol.
12 min read
Artificial Intelligence
Finding who actually shapes a conversation, not who has the most followers: citation, response quality, consistency and independence — plus separating advocates from outreach targets.
11 min read
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