Correct typos

Author: nicknettleton

src/content/bio.md

@@ -2,7 +2,7 @@
 title: "Bio / Strategic Profile"
 ---
 
-I am a hands-on technology leader, ex-agency Founder/CTO, and an award-winning AI expert, specializing in bridging complex technical realities with human-centered strategies. After two decades of successfully building and scaling platforms for major international and public-facing organizations, I am now focused on technnology and design leadership roles in public services and mission-led industries.
+I am a hands-on technology leader, ex-agency Founder/CTO, and an award-winning AI expert, specializing in bridging complex technical realities with human-centered strategies. After two decades of successfully building and scaling platforms for major international and public-facing organizations, I am now focused on technology and design leadership roles in public services and mission-led industries.
 
 My career is defined by my gift for translating complexity into actionable strategy, a skill essential for solving the high-stakes problems facing government and industry today.
 
@@ -26,7 +26,7 @@ Explainability is probably the major issue in AI today, affecting business use,
 
 ### Data Governance
 
-- I have led the architecture and risk assessment for projects such as a UKRI-funded MedTech project designed to hold special category clinical and genetic data in partnership with major NHS and academic institutions. This involved ensuring compliance, security, and establishing a trusted co-design partnerships with patients, clinicians and subject-matter specialists such as the RNIB.
+- I have led the architecture and risk assessment for projects such as a UKRI-funded MedTech project designed to hold special category clinical and genetic data in partnership with major NHS and academic institutions. This involved ensuring compliance, security, and establishing trusted co-design partnerships with patients, clinicians and subject-matter specialists such as the RNIB.
 
 ### C-Suite Influence & Programme Rescue
 

src/content/blog/2025-10-16-simple-vs-complex-models.md

@@ -103,7 +103,7 @@ This is why, when we want to know how or why this or that model made a particula
 
 ## 5. The Consequence of Opacity
 
- Because AI is probabilistic - not deterministic - and imperfect in many ways, as well as being highly sensitive to training data, evaluation process, and human inputs... because of all of this, when we are using it, we really do need to be able to inspect what's going on. We need to be in the driving seat. Whether we are users, owners or operators, we need to be able to link inputs to outputs and actions and make sure we are happy with them.
+Since AI is probabilistic - not deterministic - and imperfect in many ways, as well as being highly sensitive to training data, evaluation process, human inputs... because of all of this, when we are using it, we really do need to be able to inspect what's going on. We need to be in the driving seat. Whether we are users, owners or operators, we need to be able to link inputs to outputs and actions and make sure we are happy with them.
 
 That's a fundamental pillar of user experience, of risk management, of so many different disciplines in technology. Everyone gets this. It's why end users want to feel in control, why legislators want to understand the detail of how things work, why businesses are concerned about implementation risks.