AI Engineering6 min
A browser agent that applies to jobs
A browser agent that clicks Submit is holding a loaded action. Everything in the design should be about being certain before that moment.
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AI Engineering5 min
A browser agent behind MCP
Publishing browser control as MCP tools means an agent you did not write can drive a browser you are responsible for.
Read moreAI Engineering5 min
Playwright as an agent runtime
Playwright was built for tests, where the author knows the page. An agent does not, which changes which of its features matter.
Read moreAI Engineering5 min
Choosing a browser automation library
The usual comparison is written for test suites. Agents need different things, and the ranking changes once you weigh those.
Read moreResumes & ATS6 min
One career, many versions
Generating forty versions is trivial. Keeping forty versions consistent with each other, and with the person, is the actual problem.
Read moreResumes & ATS5 min
Knowing before you apply
The useful question is not whether you meet every requirement. It is which of the ones you miss would actually stop you.
Read moreResumes & ATS6 min
Per-job resume rewriting
Tailoring should change what is emphasised, not what is true. The architecture is what enforces that, not the prompt.
Read moreResumes & ATS5 min
The profile everything else depends on
Every downstream feature — matching, tailoring, auto-apply — is limited by this one object. It is usually the least designed part of the product.
Read moreResumes & ATS4 min
How to Build an AI ATS Resume Scorer: Architecture & Algorithms
Most ATS scorers conflate document parseability with candidate fit. Separating deterministic text extraction from semantic role alignment is what makes the output technically sound and genuinely useful.
Read moreResumes & ATS5 min
Analysing gaps in a career
A tool that detects employment gaps is one design decision away from being a tool that discriminates against carers and the recently ill.
Read moreResumes & ATS5 min
Personalising an application
Inserting the company name is not personalisation. Recruiters can tell, and a template with a merge field is worse than no letter.
Read moreResumes & ATS5 min
Finding what is missing
Half of what a gap analyser finds is not a gap at all — it is something the candidate has and never wrote down.
Read moreResumes & ATS5 min
Keyword optimisation, done responsibly
The line that decides whether this tool is useful or harmful: surfacing a term the candidate earned, versus suggesting one they did not.
Read moreAI Engineering5 min
Personalisation and scale, in tension
Scale and personalisation pull against each other by definition. The useful question is which parts of a message can scale and which cannot.
Read moreAI Engineering5 min
Automating the follow-up, safely
Most of this system is not about sending. It is about knowing, accurately, what has already happened.
Read moreAI Engineering5 min
Automating a message worth reading
Recruiters decide in about four seconds. Almost everything a generated email wants to say is spent after that decision is made.
Read moreAI Engineering5 min
A CRM for a job search
Every job search tracker dies the same way: manual entry. If the user has to maintain it, they will not.
Read moreAI Engineering5 min
Finding a contact, legitimately
Guessing an address from a name pattern is the standard approach, and it is wrong on three separate counts.
Read moreAI Engineering4 min
Tracking what comes back
An agent reading a job seeker’s inbox has access to the most sensitive thing they own during a search. Design for that first.
Read moreAI Engineering5 min
A cold email agent, built carefully
Generating the message is the easy tenth of this. The other nine tenths is sending infrastructure and the rules you enforce on yourself.
Read morePut the advice to work
Reading about ATS screening helps. Running your actual resume through one helps more.
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