Often analytical
96% Thinking, Ti 43.4, and DISC C 33 all point to logic-first processing.
I made this page mostly for fun: a collection of personality-test results, source material and a few projects I have been working on. It is only one incomplete view of me, but it gives the ideas a little more context.
Different tests use different labels. The sections below explain what each label is intended to describe and where the results overlap.
96% Thinking, Ti 43.4, and DISC C 33 all point to logic-first processing.
Pymetrics flags a bias toward tasks with the highest expected return for time invested.
Strong single-task concentration; weaker fit for constant context switching and fragmented work.
I am not naturally inclined to smooth over every disagreement, while the behavioural results suggest I usually approach others with trust and fairness.
Each framework describes a different slice of behaviour. The definitions explain the intended meaning of the scores rather than treating any label as absolute.
Near-balanced introversion; extreme intuition and thinking.
Precision first, stability second.
Top function pair: NT. Closest type matches: INTP → ENTP → INTJ.
A motivation-oriented framework rather than an ability test.
Nine game-derived categories. Generosity, effort and focus were marked as the most distinctive.
Tends to trust good intentions and balance personal interests with other people’s needs.
Allocates effort selectively toward tasks with the strongest expected return for time invested.
Maintains narrow, consistent concentration and filters distracting information effectively.
Methodical and restrained; generally prioritises accuracy over speed.
Tests options carefully and usually prefers the safest route to the objective.
Usually perceives situations as fair and is relatively trusting of how work and resources are allocated.
Often chooses quickly through instinct before applying deeper verification when stakes justify it.
Initially favours familiar methods and changes approach after considering new evidence rather than immediately experimenting.
Reads emotion heavily from facial expression, with a need to cross-check situational context.
Scored using the standard 10-points-per-section method.
A 16-item colour-based personality exercise.
Across the tests, a recurring pattern is curiosity about systems, preference for clear reasoning and stronger focus when the purpose of the work is visible.
I tend to learn more comfortably when I can see the mechanism beneath a process rather than memorising a sequence without context.
Ti 43.4 · Ne/Ni excellent · Plant 29Work that appears important or consequential receives more attention. The risk is underestimating routine tasks whose value is less obvious.
Pymetrics effort · Enneagram 5 patternMethodical checking can reduce avoidable errors. The corresponding risk is spending too long polishing something that was already good enough.
Pymetrics attention · DISC C 33I tend to question weak reasoning directly. That can be useful, but the wording and timing still need care.
Shaper 15 · Fe 17.8 · Thinking 96%Pymetrics reports gut-led decisions. Likely pattern: rapid initial selection, followed by detailed verification when stakes justify it.
The tests suggest I may communicate directly while still tending to assume good intent and view situations as broadly fair.
Strong ideation coexists with a preference for proven methods once execution begins. Exploration and implementation operate differently.
These are patterns I have noticed in myself, not instructions for anyone else.
I like automating mundane steps and experimenting with small productivity and learning projects. The previews below are genericised versions of the uploaded tools and design documents, using fictional data and simplified interactions so the ideas are easy to explore.
A map and account list for organising field-sales targets by location, fit rationale and visit status. The generic preview shows the central idea without the original account data.
A short mobile-first diagnostic that asks simple operational questions, estimates where follow-up may be leaking and returns a plain-language risk result. The original tool used nine taps; this page contains a shorter demonstration.
A local interface for processing large recordings without forcing the browser to upload the entire raw file. It compresses and splits audio, uses a fast transcription model first, retries low-confidence chunks with a stronger model and preserves segment timestamps.
A local studio that accepts structured knowledge atoms, quiz items or dialogue scripts, detects the content type and sends it through the appropriate audio-generation path. It also keeps provenance and naming metadata attached to the output.
A deterministic framework that maps a concept to a suitable practice format based on what the learner must do in the real world. The later version narrows the MVP to tap-only formats and short completion times.
A versioned set of rules for producing short sales-judgment questions that feel closer to real calls than to textbook quizzes. The later version adds compressed buyer language and commercial-safe labels.
A structured generation prompt that turns sales notes, playbooks or transcripts into short practice items. It extracts the smallest transferable decision rule, selects a tap-based format and uses generic public labels rather than source-specific framework names.
Open any image to view the original readout. The summaries above are my interpretation; the source material is included for context.










This is a for-fun snapshot rather than a complete account of my personality. The source material is included so the summaries can be read alongside the original results.