Mar 2026
Data Platform
10 min
The lakehouse pattern, two years later
Lessons from migrating a petabyte of telecom data — what we'd do again, and what we'd never repeat.
Insights
Notes from the field.
Essays and technical writing from the engineers who ship the work. No content marketing, no buzzwords — just things we wish we had read sooner.
Featured
AI Engineering · May 2026 · 8 min
Beyond chatbots: shipping LLM features that survive production
Most LLM demos break the moment they meet real users. In this long-form piece we walk through the playbook we use across finance, healthcare and public-sector clients to keep them alive — covering evaluation, observability, fallbacks and the operational rituals that separate a prototype from a product.
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Jun 2026
Manufacturing
10 min
AI twinning: how computational twins are changing industrial decision-making
A technical guide for CTOs and operations directors: moving from static simulation to real-time, AI-driven computational twins for predictive maintenance and process optimisation.
Apr 2026
Computer Vision
6 min
Why edge inference still beats the cloud for visual QA
Latency, bandwidth, privacy. Three reasons your defect detector belongs on the line, not in a data centre.
Feb 2026
Strategy
5 min
When not to build with AI
A short list of problems where rule-based systems still win on cost, latency and trust.
Jan 2026
MLOps
7 min
Drift monitoring without the drama
Practical signals, sensible thresholds, and how to wake the right person at 3 a.m.
Dec 2025
Knowledge Systems
9 min
Knowledge graphs are back. They never left.
Why graph-based reasoning quietly powers the most reliable AI systems we've shipped.
Nov 2025
AI Engineering
6 min
Evaluating RAG: beyond cosine similarity
How we set up evaluation harnesses that catch retrieval regressions before users do.
Oct 2025
Cloud
8 min
FinOps for AI workloads
Inference is the new compute. A practical guide to keeping LLM bills sane without throttling the product.
Sep 2025
Strategy
5 min
AI roadmaps that survive contact with reality
What a useful 12-month AI plan looks like — and what to leave off it.
Aug 2025
NLP
11 min
Multilingual sentiment is harder than it looks
Translation, code-switching, sarcasm and the long tail of low-resource languages.
Field notes
One essay a month. Nothing else.
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FAQ
Insights questions, answered.
06 · Questions
01How often do you publish?
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How often do you publish?
About one essay a month — sometimes more when a piece grows out of recent project work. We would rather publish less often and have it be worth reading than chase a content calendar.
02Who writes these essays?
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Who writes these essays?
The engineers who shipped the work. Every piece is written or co-written by a Talee practitioner, with at least one second engineer reviewing for accuracy. No ghostwritten content marketing.
03Can we republish or quote your essays?
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Can we republish or quote your essays?
Short quotes with a link back are welcome. For full republication, get in touch — we are happy to license pieces to trade press, academic newsletters and industry publications.
04Do you offer talks or workshops on these topics?
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Do you offer talks or workshops on these topics?
Yes. We run private workshops for client engineering teams and speak at industry conferences. Topics include LLM evaluation, MLOps, lakehouse migration and applied vision systems.
05How can I suggest a topic?
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How can I suggest a topic?
Email Hello@talee.co.uk with the question you want answered. If it overlaps with work we are doing, it goes on the shortlist.
06Is there an RSS feed?
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Is there an RSS feed?
Yes — and a low-volume monthly newsletter with the same content. Both are available from the subscription form above. No tracking pixels, unsubscribe in one click.