Practical decisions for AI and software
Technical guides to choose models, verify software and plan delivery.
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Latest articles
New comparisons, practical guides and engineering lessons.
Small model fine-tuning: Airbnb’s production lesson
A specialist classifier needs more than a cheap inference call. Evaluate training data, accepted errors, fallback, full costs and the path to production.
img2threejs: Turn an image into editable Three.js code
Start with the GitHub skill, inspect its TypeScript output and test the changes your browser prototype needs. Includes setup and a practical reconstruction prompt.
Organoid: AI material specification with evidence attached
Independent Organoid AI ideas for product answers and evidence packs. Hypothetical workflows with checks for carriers, mounting and document dates.
ING-B: AI for electrical engineering document review
Independent ING-B ideas for tender revisions, lighting evidence and handover checks. Hypothetical workflows, with no company AI implementation or results claimed.
ChatGPT Search Console: what the reported Business Hub means for your business
What the reported OpenAI Business Hub could measure, where access remains unclear, and how to connect visibility evidence to qualified demand.
README ZIP malware: review the actual AI tool install
A clean SKILL.md cannot cover every installation input. Compare six harmless change scenarios and see when a previous review needs another decision.
Odoo AI credits: budget a reviewed quotation workflow
Budget the quotation queue before increasing volume. Separate Odoo credits, subscription uplift, initial review and correction work in a runnable synthetic ledger.
Odoo AI data residency: does EU hosting cover inference?
A database region does not settle the AI data path. Review the feature, context and processing evidence with a downloadable checklist and synthetic inspection record.
AI-generated Odoo modules: audit the business contract
An approval flag can hide unauthorized or stale decisions. Follow a disclosed code specimen through thirteen failed-versus-corrected contract cases and separate native Odoo release gates.
Essential guides
- AI Agent Pilot in 30/60/90 DaysA serious production rollout plan for Austrian SMEs: scope and de-risk, build and shadow, then limited production and handover. The hard parts are permissions, approvals, evals, and a clean handover, not the model.
- RAG vs Fine-Tuning vs Long-Context 2026A workload-based method for testing retrieval, supervised fine-tuning, long context, and hybrid architectures without relying on universal cost crossovers.
- The Vibe-Code Production-Readiness ChecklistA scannable first-pass checklist for AI-assisted apps before real users touch them. Ten evidence areas, plus risk-based launch triage and the limits of a generic checklist.
- What Software Maintenance Costs After Launch: A DACH SaaS BenchmarkObserved post-launch maintenance cost bands for DACH SaaS: year-one, year-two and year-three spend split across bug fixes, dependency upgrades, cloud, observability, security, compliance, support, product iteration and emergency work, with an interactive calculator.
- Paid Pilot vs PoC vs Design Partner: Which One Proves Demand?Decision guide for choosing the right evidence test: technical feasibility, customer learning or willingness to pay, with a seven-condition paid-pilot scorecard and contract brief.
- Fractional CTO vs Hiring in AustriaCompare the leadership mandate, authority, availability, team needs, employment cost inputs and current supplier terms before choosing a model.
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AI and agents
Engineering, operating and evaluating AI systems, coding agents and model infrastructure.
Product and MVP
Validate demand, shape scope and turn uncertain product bets into testable releases.
Delivery and QA
Architecture, production readiness and quality practices for software that must keep working.
Leadership and teams
Fractional leadership, AI-enabled teams and the operating decisions behind delivery.
Business and regulation
Buying software, funding delivery and navigating governance, contracts and regulation.
Web3 and privacy
Blockchain infrastructure, cryptography and privacy technologies evaluated for production use.
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