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By Greg Nowak, 28 July, 2026
Illustrated infographic summarizing: Not Every AI Job Needs an Instant Answer: Batch the Backlog

Not Every AI Job Needs an Instant Answer: Batch the Backlog

Move delay-tolerant AI work into dependable batch queues to cut processing costs without compromising quality, data controls, or urgent workflows.

Tags

  • AI automation
  • Batch API
  • OpenAI integration
  • cost optimization
  • python
The job finder's job list, captured from a throwaway demo copy seeded with invented rows — the header reads "Job finder — demo data" beside the list of sources. Each card carries a job title, a source chip (jobindex, verama, freelancermap, emagine, weworkremotely, amino), an AI score out of 5, an optional contact-mail chip, a location and a seen-date, then three actions: applied, draft email, and discard with a "why discard?" note. No real advertisement or employer appears.

A private job radar that reads seven boards every morning — and throws away most of what it finds

GrN.dk — internal build
Personal automation, public-source scraping and AI-assisted filtering

This one has no link on it, and that is the point: jobs.grn.dk answers 401 to the internet and always has. It is an internal tool — a job radar, built for its owner's own search for work. Every morning it reads seven contract and job boards, drops everything that cannot match a written profile, has what survives judged by a language model against that profile, and presents the handful worth reading as one screen with three buttons: applied, draft email, discard.

Because it holds one real person's live job search, nothing of it is published here. The screenshot above is a throwaway demo copy of the same interface, seeded with invented rows — every company, title, location and address in it is a placeholder, and it labels itself "demo data" in the header so it can never be mistaken for the live board.

The crypto-dash.grn.dk status page: the heading "nexus auto-trader" beside an orange PAPER ONLY badge, over the line "hourly strategy sweep → leaderboard → paper promotion · no real orders, ever". Stat tiles read 649 configs tested, 715 backtests last 24h, 2 sweep windows, 3 paper strategies and +0.00 paper P&L in USD. Below them a Paper strategies panel lists three promoted configurations with all-zero P&L rows, and a Promotion pipeline table shows each candidate's streak and score.

A trading rig that tests its own strategies every hour — and never places an order

GrN.dk — internal build
Quantitative research tooling and automation

crypto-dash.grn.dk is the public window onto a strategy-research rig that runs on our own server and trains itself. Every hour it backtests a fresh batch of trading-strategy configurations against five-minute crypto candles, scores each one on data it was not fitted to, keeps a running leaderboard, promotes the configurations that hold the top into a simulated book, and demotes them again as soon as their forward behaviour drifts away from what the backtest promised.

It is paper trading only. The installation holds no exchange keys, calls no order endpoint and has no account to spend from. Every fill, every position and every P&L figure on that page is simulated — which is why the page prints PAPER ONLY on itself, in orange, at the top of every hourly regeneration.

By Greg Nowak, 8 July, 2026
Illustrated infographic summarizing: When AI writes JSON, one bad field can break the workflow

When AI writes JSON, one bad field can break the workflow

Structured AI output is useful in real workflows, but teams need schemas, validation, retries, and logs before JSON reaches production systems.

Tags

  • AI integrations
  • structured outputs
  • api automation
  • python
  • php
By Greg Nowak, 1 May, 2017

Check version of pip installed python package CSVkit

pip show csvkit

Tags

  • python
  • Linux
By Greg Nowak, 14 March, 2015

Gregs AI Optimizations and Logistical IT

Freelance

My main focus is to help companies with their IT issues via automated workflows and AI assisted solutions. Check out nowa.dk and cases section.

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Illustrated infographic summarizing: Prompt Caches Have Write Costs Now—Audit What Your Workflow Reuses
Prompt Caches Have Write Costs Now—Audit What Your Workflow Reuses
2026-08-10

GPT-5.6 makes cache writes billable. See how to spot wasted writes, stabilise prompt prefixes, place breakpoints and measure whether caching pays.

Illustrated infographic summarizing: The AI Crawler in Your Logs May Be Wearing a Borrowed Name
The AI Crawler in Your Logs May Be Wearing a Borrowed Name
2026-08-09

A User-Agent is a claim, not proof. See how to verify AI crawler traffic before it shapes reporting, robots.txt decisions, or WAF exceptions.

Illustrated infographic summarizing: AI Agents Need a Spending Brake, Not Just a Billing Dashboard
AI Agents Need a Spending Brake, Not Just a Billing Dashboard
2026-08-08

AI agent costs can climb inside a single workflow. Runtime budgets, loop detection, outcome metrics, and safe handoffs keep that spending under control.

Illustrated infographic summarizing: Drupal 12 Slipped to December. Drupal 10 Still Runs Out of Road
Drupal 12 Slipped to December. Drupal 10 Still Runs Out of Road
2026-08-07

Drupal 12 arrives as Drupal 10 support ends in December 2026. Moving to Drupal 11.3+ first keeps two mandatory upgrades manageable.

Illustrated infographic summarizing: EU OpenAI Residency Is a Migration Project, Not a Dashboard Toggle
EU OpenAI Residency Is a Migration Project, Not a Dashboard Toggle
2026-08-05

An EU-resident OpenAI API setup needs a new project, regional routing, dependency and state migration, compatibility testing, and clear governance evidence.

Illustrated infographic summarizing: AI Images Need a Chain of Custody, Not Just a Disclosure Label
AI Images Need a Chain of Custody, Not Just a Disclosure Label
2026-08-04

AI image labels are only the endpoint. Learn how to test C2PA credentials through editing, CMS, CDN and agency handoffs while preserving evidence.

Illustrated infographic summarizing: MCP Just Went Stateless: Audit the Integrations Behind Your AI Tools
MCP Just Went Stateless: Audit the Integrations Behind Your AI Tools
2026-08-03

The 28 July 2026 MCP release removes protocol sessions and changes discovery, tasks, caching, OAuth and tracing. A practical guide to auditing the move.

Illustrated infographic summarizing: SEO Trends for 2026: What Actually Changed Since 2024
SEO Trends for 2026: What Actually Changed Since 2024
2026-08-03

A practical guide to what changed in SEO between 2024 and 2026, from AI and multimodal search to Core Web Vitals, privacy and local visibility.

Illustrated infographic summarizing: INP and Green SEO Share a Backlog: Cut the Work Every Visit Repeats
INP and Green SEO Share a Backlog: Cut the Work Every Visit Repeats
2026-08-03

INP and sustainable web work often expose the same waste. Use field data, profiling, caching and performance budgets to build one practical backlog.

Illustrated infographic summarizing: AI crawler policy now has verbs: separate search, RAG, and training
AI crawler policy now has verbs: separate search, RAG, and training
2026-08-02

AI crawler rules now need separate decisions for search, RAG, and training, backed by practical testing across robots.txt, CDNs, WAFs, and CMS controls.

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