Unprompted: Real AI in IC
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Answer extracted from the Unprompted: Real AI in IC podcast — listen to the full episode below.

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How does the Feelings Lounge framework structure weekly self-reflection with AI?

The Feelings Lounge is a weekly Friday morning reflection triggered by AI that guides you through four distinct reflections: what energizes you, what drains you, what loops in the background without your realizing it, and one micro-experiment to try next week. Rather than jumping into problem-solving mode, the framework holds up a mirror to actual patterns—shifting you away from what an anxious brain assumes is happening toward what is genuinely occurring.

From speed to slowness: the shift in how AI supports wellbeing

Kate Hughes initially approached AI as a productivity tool for efficiency, but she discovered something more valuable: using AI as a thinking partner for self-awareness rather than task automation. Conventional wellbeing approaches weren't working for her during a period of overwhelm and burnout, so she began exploring how AI could help her notice patterns about herself rather than just get things done faster.

The Feelings Lounge emerged from this realization. As Kate explains in the episode, the framework deliberately slows you down—a counterintuitive move in a field often obsessed with AI acceleration. The weekly cadence (Friday mornings) creates a consistent anchor point for reflection, while the four-part structure ensures you're capturing the full picture of what's actually influencing you.

The four reflections that reveal hidden patterns

Each Friday, the framework asks four questions. First: what energizes you this week? This positive framing prevents the bias toward only noticing problems. Second: what drains you? This captures the obvious stressors but also the subtle ones you might otherwise ignore.

Third, and perhaps most revealing: what is looping in the background—the thought, worry, or pattern that keeps returning without you actively thinking about it? This is where imposter syndrome, self-doubt, or professional avoidance often hide. Fourth: identify one micro-experiment to try next week based on what you've noticed. This prevents the framework from becoming mere venting and instead makes it actionable.

Over multiple check-ins, AI pattern recognition can detect recurring themes you might miss in isolation. A point discussed at length in this podcast is how Kate discovered her own imposter syndrome pattern only after several weeks of check-ins revealed the same loop surfacing again and again.

"Instead of asking the question, what can AI do for me? It's more a question of what can AI help me notice about myself."

Kate Hughes — Head of Internal Communications and Engagement Business Partnering, Cambridge University Press and Assessment. Kate leads a team of senior business partners who help leaders communicate clearly and guide the organisation through change and complexity. She experienced burnout and overwhelm that prompted her to explore AI not as a productivity accelerator, but as a tool for genuine self-awareness and wellbeing.

One of the most striking details from Kate's experience: she explains how the framework helped her deliver a high-stakes proposal with conviction after weeks of fretting, demonstrating how pattern awareness translates into real professional confidence.

Key takeaways

See also

How can AI be used as a thinking partner for wellbeing and self-coaching beyond traditional productivity gains?

Kate Hughes shifted from using AI for speed and efficiency to using it as a thinking partner. She established weekly wellbeing check-ins with Copilot called the Feelings Lounge to explore what energizes, drains, loops in the background, and one micro-experiment to try next week.

What tool has made building AI agents significantly more accessible for internal communicators?

Glean made a major difference, connecting across many company tools and platforms, drawing on a huge range of company knowledge. Crucially, it allows internal communicators to build AI agents without deep technical expertise.

How is AI fundamentally changing the role of internal communicators beyond just creating content?

Rebecca sees AI enabling internal communicators to shift from being 'post boxes' to giving people tools to do great communications themselves at scale. AI empowers communicators to become enablers rather than sole creators.

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