Carl Vincent's profile on Product Hunt

About

Marketing becomes powerful when it functions as a system, not a collection of tasks. I’ve dedicated my career to helping brands unify their marketing ecosystem. When strategy, design, and execution work together, results compound. When they operate separately, growth stalls. As Director of Client Strategy at Visceral Ore, I help multifamily, ecommerce, and B2B leaders create clear, outcome driven marketing systems. From improving occupancy to boosting conversions, I focus on building structure around execution. Our unified approach has produced full occupancy, major improvements in traffic, and conversion lifts across digital channels. Trust, transparency, and practical strategy guide my work. Outside the office, I explore digital trends, user behavior, and creative design.

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Gone streaking

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Forums

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2d ago

How do you restrict agents from introducing random 3rd-party packages?

I explicitly asked an agent to write a lightweight helper function for formatting dates. Instead of using built-in JS utilities or our existing setup, it tried to npm install a obscure library just to parse a string.

It feels like agents often default to importing heavy external package for trivial logic rather than writing 5 lines of clean native code.

What s your strategy for enforcing a zero new dependencies policy without micro-managing every single prompt?

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3d ago

Fifteen blue buttons and the layer that never sees a selector

We asked a coding agent fifteen times to make one button blue on a page built to tempt it: Add to Cart and Checkout shared a class, a badge and the nav link shared the accent variable. Every run added an id-scoped rule. Checkout stayed green. Appending "Do not change anything else" changed one thing: the five runs with it wrote the hex inline where nine of the other ten had added two CSS variables. A path rule fencing off every file but the stylesheet never fired.

Real repositories look different. One benchmark pre-applied the fix to 200 issues and reopened them for five recent models in their vendors' harnesses. The right patch is empty; 35 to 65% of instances got an edit to executable code anyway, and in the authors' analysis of one model's failed traces, 87.1% had modified code unrelated to the issue. Task wording moved that figure a long way in both directions. Telling the agent to "edit the codebase" dragged one model's correct-abstention rate to 36.5%; reproduce first, then fix or abstain if nothing was wrong, lifted it to 88.5%. Their explanation: the agent acts on whatever it believes success means.

The harness side: switch on auto-accepted edits in both CLIs whose docs we read and the grant is the whole working directory. A path rule brings that down to files; one vendor's docs state that it applies to the built-in edit tools and recognized shell commands, and that a script opening a file itself is outside it. A selector inside a permitted file sits below every layer's resolution. Whether the blue landed on one button or on every primary button is decided by the sentence you typed and by whoever reads the diff.

When your agent overshoots, where does the boundary live in your setup today: the prompt, a rule file, a path rule, a sandbox, or the person reading the diff? Which of those has caught a change for you inside a file the agent was allowed to edit?