Adding AI agents to workflows? Start with simple, rule-based AI agents in workflows, then gradually introduce "thinking" agents with guardrails. Read: "Everything Starts Out Looking Like a Toy" #266| Data Operations
We've gone beyond having sparkly buttons to systems that anticipate your needs. Software is getting smarter behind the scenes. Read: "Everything Starts Out Looking Like a Toy" #265| www.finddataops.com
PMs must evolve from design specialists to end-to-end owners who diagnose, triage, and automate their way to success. Read: "Everything Starts Out Looking Like a Toy" #264| Data Operations
Map the customer journey so teams can see exactly "what should have happened" in any operational workflow, then react faster. Read: "Everything Starts Out Looking Like a Toy" #263| www.finddataops.com
Little's law is a simple concept of operations that demonstrates you need to limit the work arrival or the work in progress to improve a system. Read: "Everything Starts Out Looking Like a Toy" #262| Data Operations
Team handoffs fail because we can't see them fail. Coupled with good process observability, AI can help you see what to fix. Read: "Everything Starts Out Looking Like a Toy" #261| Data Operations
Use AI to interview yourself about ideas, producing shareable product briefs from bullet points in under 10 minutes. Read: "Everything Starts Out Looking Like a Toy" #260| www.finddataops.com
How do you get started with AI? Collaborate with it as a pair programmer. Build the system you want to use. Read: "Everything Starts Out Looking Like a Toy" #259| Data Operations
AI collaboration works best with structured workflows. What if you could ask it to build systems, not just code? Read: "Everything Starts Out Looking Like a Toy" #258| www.finddataops.com
When you find a task that needs to get done and gated by a subscription, finding a solution becomes complicated. Sign up and cancel? Vibe code it? Read: "Everything Starts Out Looking Like a Toy" #257| Data Operations
Using AI effectively to ask and answer questions isn't just about the answers. It's about thinking better using AI as your partner. Read: "Everything Starts Out Looking Like a Toy" #256| Data Operations
AI will confidently answer any question it gets. Make sure the humans at your company can follow a process before giving it to AI to amplify. Read: "Everything Starts Out Looking Like a Toy" #255| www.finddataops.com
AI agents are reshaping CX Standard Operating Procedures, moving humans from step-by-step execution to oversight and optimization. Read: "Everything Starts Out Looking Like a Toy" #254| Data Operations
We need personalized search rules that adapt to your context, learning style, and privacy needs while giving great results. Read: "Everything Starts Out Looking Like a Toy" #253| www.finddataops.com
If you could rewind the customer journey to where churn starts happening, could you stop it? What would an early warning system look like? Read: "Everything Starts Out Looking Like a Toy" #252| Data Operations
Selecting a CRM to get started is an important choice. And it's also a reversible one. Which one would you pick to get your company started? Read: "Everything Starts Out Looking Like a Toy" #251| www.finddataops.com
Have you tried hiring AI to improve your writing? Here's a structured process to get feedback, make revisions, and maintain a human tone. Read: "Everything Starts Out Looking Like a Toy" #250| Data Operations
No-code orchestration tools work great, until you need to explain your logic to a co-worker. How can we make that easier? Read: "Everything Starts Out Looking Like a Toy" #249| Data Operations
Instead of adding AI features to existing applications, let's build persistent intelligence layers that follow users across tools. Read: "Everything Starts Out Looking Like a Toy" #248| www.finddataops.com
Your team is already building the tools they need. Are you helping them mold that approach into an efficient and delightful internal product? Read: "Everything Starts Out Looking Like a Toy" #247| Data Operations
If you try to do every task when it arrives, you won't get everything done. How do you prioritize while minimizing the cost of switching? Read: "Everything Starts Out Looking Like a Toy" #242| www.finddataops.com
How do you make a mini app as polished as one you could buy? A hint lies in new functionality from LLMs to create tasks. Read: "Everything Starts Out Looking Like a Toy" #234| www.finddataops.com
At the intersection of your system stack lies opportunity| www.finddataops.com