Posts

Writing jq Filters With LLMs in October 2026: Paste Real Sample Input, Handle Nulls on Purpose, and Test Before You Pipe

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jq is one of those tools almost everyone uses and almost nobody remembers. You need to pull three fields out of an API response, flatten a nested array into CSV, or count records by status, and you end up asking an LLM for the filter. That works well most of the time. The failures are quiet: a filter that returns nothing instead of an error, a default that swallows a real false , or a shell command that breaks the moment a value contains a space. This guide covers how to ask for jq filters so the first answer is usually right, and how to check the ones that aren't. Example JSON code. Image: Dcbmariano , CC BY 4.0 , via Wikimedia Commons . Why LLM-written jq filters go wrong jq looks simple, but its behavior around missing data is subtle, and models tend to write for the happy path. The common problems are: Guessed structure. If you describe your JSON in words instead of pasting it, the model invents field names and nesting. The filter then runs without error and prints null...

Writing Makefiles With LLMs in October 2026: Name Your Make Version, Mark Phony Targets, and Dry-Run Before You Run

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Makefiles are one of those files almost every project has and almost nobody enjoys writing. That makes them an obvious job to hand to an LLM: describe your build, test, and deploy steps, and ask for a Makefile. The model will happily produce one in seconds. The trouble is that Make has sharp edges that are easy to miss in a generated file: tabs versus spaces, targets that silently never rerun, variables that expand at the wrong time, and GNU-only features that break on another machine. This guide walks through a practical way to get a useful Makefile out of a model and check it before your team depends on it. Image: mikemacmarketing / photo on flickr via Wikimedia Commons (CC BY 2.0) Image: Midjourney; prompt suggested by Grok via Wikimedia Commons (Public domain) Start by telling the model which Make you actually run There is no single "Make". GNU Make is the default on most Linux distributions. macOS ships an old GNU Make 3.81 at /usr/bin/make unless ...

Social Media Digital

Social Media Digital: 9 Moves That Actually Make Money Social media digital marketing is crowded with advice that sounds good in a boardroom and dies in the real world. We're not here for that. Santa Fe Capital Management runs a conglomerate across real estate, software, blockchain, and derivatives — and we've learned that social media digital strategy only matters when it moves the needle. Every post, every ad, every campaign should have one job: generating returns. Here are nine specific, no-fluff moves that work. Use them, adapt them, and watch the difference. --- 1. Stop Renting Your Audience — Build an Email List From Day One Every social platform can change its algorithm overnight. When that happens, your reach doesn't just shrink — it disappears. The only audience you truly own lives in your email list. Make every social media digital campaign funnel toward a lead magnet: a PDF, a checklist, a short video series. Something useful enough that people hand over th...

Social Media Affiliate Marketing

Social Media Affiliate Marketing: 7 Moves That Actually Pay Social media affiliate marketing is one of the few channels left where a small team can generate real revenue without begging for venture capital or waiting on a bank loan. You pick a product, share it, and get paid when it sells. No inventory. No customer support. No upfront cost. Just distribution and trust. At Santa Fe Capital, we run money across real estate, web and mobile development, blockchain, derivatives, and digital marketing. Our operating principle is simple: where there is money to be made, we go. Affiliate marketing qualifies. It is direct-response, measurable, and scalable — three words we like. But most people treat it like a hobby. They post a link, check their dashboard once a week, and wonder why nothing moves. This is not a passive-income daydream. It is a performance channel, and it rewards operators who treat it like one. Here are seven moves that actually pay. Who This Playbook Is For For investor...

Writing OpenAPI Specs With LLMs in October 2026: Lint Every Draft, Test Against the Real API, and Diff for Breaking Changes

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Large language models are quick at producing OpenAPI specifications. Paste in a few route handlers or a rough description of an endpoint, and you get back hundreds of lines of YAML that look complete. The trouble is that an OpenAPI file is a contract: client SDKs, mock servers, API gateways, and documentation sites all trust it. A spec that looks right but describes a field that doesn't exist, or quietly mixes OpenAPI 3.0 and 3.1 syntax, causes problems far from where the mistake was made. Image: mikemacmarketing / photo on flickr via Wikimedia Commons (CC BY 2.0) Image: Midjourney; prompt suggested by Grok via Wikimedia Commons (Public domain) This guide covers a practical workflow for using LLMs to draft and maintain OpenAPI specs without letting errors slip into the contract: give the model the right inputs, lint every draft, check examples against schemas, test the spec against the running API, and diff every change for breaking changes before it merges. ...

Social Media Business

The Social Media Business: 8 Ways to Turn Social Platforms into Real Revenue Social media is not a hobby. It's a business — one with real revenue, real margins, and real exits. Where attention goes, money follows, and right now attention lives on social platforms. We built Santa Fe Capital Management around a simple principle: where there is money to be made, we will go. Social media qualifies. It touches every vertical we operate in — real estate, software, blockchain, and digital marketing — and it's one of the fastest-moving markets in the stack. Here are eight ways to treat social media like the business it actually is. 1. For Investors: Treat Audiences as Assets A company's social following is now a balance-sheet item. Every engaged follower is a distribution channel you didn't have to buy — and it compounds. When we evaluate acquisition targets, we look at audience quality before we look at the website. A business with 100,000 engaged followers is often worth ...

Writing Prometheus Alerting Rules With LLMs in October 2026: Check Every Metric Name, Unit-Test With promtool, and Alert on Symptoms

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Ask a large language model for "an alert when the API error rate is too high" and you will get a tidy Prometheus rule in seconds. It will look right. It might even be right. But alerting rules fail in quiet ways: a metric name that doesn't exist in your setup never fires, a missing for clause pages someone at 3 a.m. for a two-second blip, and a label the model invented means the alert routes nowhere. None of these produce an error. They just produce silence or noise. Image: mikemacmarketing / photo on flickr via Wikimedia Commons (CC BY 2.0) Image: Midjourney; prompt suggested by Grok via Wikimedia Commons (Public domain) This guide walks through a practical workflow for using LLMs to draft Prometheus alerting rules without shipping those failures. The short version: check every metric and label against your real Prometheus, validate and unit-test every rule with promtool , and design alerts around user-facing symptoms with deliberate thresholds and ...