🧠 The missing layer in AI-assisted work
AI can help people move faster, but speed alone does not solve the knowledge problem.
In complex product, engineering and operational environments, work is spread across
tickets, logs, scripts, approvals, screenshots, terminal output, emails, meetings,
chat history and individual memory.
This update explains why Perspicit is being shaped as an operational understanding
layer for complex work: preserving evidence, context, actions, decisions and handovers
so the next person does not have to start from zero.
The missing link in AI-assisted work is not only automation. It is structured,
evidence-backed operational memory.
Read the LinkedIn update
🧠 From Runner to Perspicit: preserving current truth
Building products has a habit of exposing the next problem. During the knotAI and
Vericura development journey, the need for Runner became clear: a way to keep
operational work controlled, traceable and moving forward safely.
What started as an internal requirement exposed a wider issue. Complex projects change
constantly. Environments, decisions, evidence, dependencies, risks, blockers, next steps
and handovers can shift several times a day.
The problem is not effort. The problem is continuity. What is current? What changed?
Which decision still applies? What was proved? What is blocked? What is the next safe step?
That thinking is helping shape Perspicit: an operational intelligence layer for complex
systems and projects, designed to help teams preserve current truth, understand dependencies,
surface risks, retain decisions and stay aligned without creating endless messages, emails
and repeated explanations.
Read the LinkedIn update
🧾 AI-generated media and the need for trusted evidence
Video and digital media used to feel like strong evidence. If something could be seen,
heard, replayed and shared, it often felt difficult to dispute. That world is changing.
As AI-generated and manipulated media becomes more realistic, the question is becoming less
“do we have the video?” and more “can we prove where it came from, when it was captured,
how it moved, who handled it, and whether it changed?”
This update explains why Vericura is being shaped around trusted capture, controlled routing,
auditability, provenance and long-term proof around digital evidence.
Read the LinkedIn update
☀️ Founder note: summer, focus and product development
A personal reflection from Gavin on the difference between summer in the UK and warmer climates,
the value of slowing down, and appreciation for the people continuing to move
knotAI
and Vericura product development forward behind the scenes.
Building something properly takes time, concentration and the unglamorous work that most people
never see. This update is a simple thank you to those helping the work continue.
While summer brings sunshine, sport and a natural pause, the product journey continues with steady,
focused progress.
Read Gavin’s LinkedIn post
🔐 Evidence handling: removing avoidable doubt
There is a lot of focus on capturing digital evidence, but the bigger question is what happens next.
This update looks at why evidence should be obtained as close to source as possible, with integrity,
context and chain of custody recorded from the start.
The objective is simple: turn evidence from “a file someone sent” into a record that can be trusted.
In evidence handling, trust is important — but proof is better. And proof is far easier, cheaper
and stronger when it is built in from the outset, rather than reconstructed after the event.
Read the LinkedIn update
🌐 Public website v0.1: giving Vericura a clearer home
A small but important step for
knotAI
and Vericura: the first version of the public website is now taking shape.
At this early stage, our focus is on three initial sector entry points:
fleet and transport evidence, building management and site operations,
and rail and infrastructure evidence.
These are not the limits of Vericura. They are practical starting points where
trusted digital evidence, chain of custody, controlled disclosure and multi-party
access are already clear problems.
Read the LinkedIn update
📌 First LinkedIn update: introducing the knotAI / Vericura journey
Our first LinkedIn update marked the start of a regular public progress thread for
knotAI
and Vericura.
The focus is trusted digital evidence, controlled access, chain of custody
and the practical journey of building Vericura into a platform that can support
multiple sectors and authorised parties.
Read the first LinkedIn update
💼 Follow product, sector and partner progress
We plan to publish short updates covering product progress, evidence workflows,
operational intelligence, partner opportunities, sector entry points and practical use cases
for Vericura and Perspicit.
Future updates will also cover how the knotAI product direction develops as partner
conversations, product readiness and real-world use cases mature.
Follow the LinkedIn page
Perspicit update
Vericura update
knotAI update