The future is future fitness. The advantage isn’t prediction. It’s how fast your team can notice change and respond. Pick one mindcandy prompt below. Discuss it. Decide your moves.
If you want you a repeatable operating rhythm to sense signals early, decide priorities faster, and act with real strategic options, click here.
Today’s prompt: AI learns better when it talks to itself
Scientists have demonstrated the potential of inner speech to improve AI learning, showing how AI models can generalize across different tasks more easily when supported by both inner speech and short-term memory.
https://superinnovators.com/2026/01/ai-learns-better-when-it-talks-to-itself/
Other prompts:
My latests book about books about AI
Data, acceleration, and the future of intelligence: Lessons from 25 core books about AI, technology abstraction, and consciousness.
https://www.ronimmink.com/product/a-book-about-books-about-ai/
Citizen development in large enterprises: Driving scalable innovation from within
From Grassroots Tool to Enterprise-Grade Solution
Citizen development in large enterprises: Driving scalable innovation from within
Redefining the Data Office for the AI era: A governance operating model
Governance as momentum
https://www.wavestone.com/en/insight/governance-operating-model-ai-era/
Why AI Exposed Marketing’s Biggest Structural Weakness
The problem isn’t tools or data volume. It’s architectures, decision cycles, and how teams are built to respond.
https://www.cmswire.com/digital-marketing/why-ai-exposed-marketings-biggest-structural-weakness/
AI learns better when it talks to itself
Scientists have demonstrated the potential of inner speech to improve AI learning, showing how AI models can generalize across different tasks more easily when supported by both inner speech and short-term memory.
https://superinnovators.com/2026/01/ai-learns-better-when-it-talks-to-itself/
From systems of record to systems of work
If you’re using AI only to automate, you’re already behind. The real winners are rebuilding work itself with systems designed to learn.
https://www.cio.com/article/4125801/from-systems-of-record-to-systems-of-work.html
Understanding the data core: From legacy debt to enterprise acceleration
Reliable, scalable AI depends on reinventing the data core — not just upgrading technology — and using business-driven, reusable, and compliant data foundations
No-Code Isn’t a Trend Anymore. It’s How Enterprises Are Fixing Broken Operations.
Speed is the Real Competitive Advantage
https://newswatchtv.com/2026/02/03/no-code-platform-enterprise-operations/
How Low-Code and Agentic AI propel innovation
Low-code platforms combined with agentic AI accelerate application development, empower citizen and professional developers, automate workflows, and enable enterprises to scale innovation through intelligent, adaptive, and self-optimising systems.
https://www.dqindia.com/opinion/how-low-code-and-agentic-ai-propel-innovation-11074735
Are Legacy Metrics Derailing Your Transformation?
As organizations strive to measure the progress of their transformation initiatives, many continue to use the legacy metrics that have served them well in the past—operational KPIs such as utilization, throughput, and quarterly margins. This is a mistake; they should instead be measuring what will make them successful in the future.
https://hbr.org/2026/02/are-legacy-metrics-derailing-your-transformation
The $5 Trillion Blindspot: When Robots Run Faster Than Your Dashboards
Dashboards helped us see our business, but they won’t run the future of robotic, algorithmic, sensor-powered enterprises now emerging. The companies that embrace this shift early will accelerate.
https://www.rtinsights.com/the-5-trillion-blindspot-when-robots-run-faster-than-your-dashboards/
