AI– The Putti Perspective
Right now we either seem to be being told that AI is the answer to everything, or that it is completely over hyped; even deeply problematic, considering things like AI slop, AI projects that have failed to deliver, AI powered fraud, deep fakes and all the rest.
There are also multiple products popping up with flashy marketing telling people they can ‘vibe code’ a software startup, just using prompts. And yet you’ll notice that developers still have jobs.
Where is reality in this emerging and fast-changing world? As a software development agency, we believe we can offer a balanced perspective.
For a start, there are definitely tasks that Machine Learning (ML) or Large Language Models (LLM’s) can do very well, but they certainly aren’t yet the solution to every problem.
In fact, one slightly confusing aspect is that these new tools are often somewhat the opposite of what we’d gotten used to computers being good at. Forever in a day computers excelled at doing very specific tasks super accurately, over and over again. Now, AI’s have expanded what computers can do into much fuzzier and more human-like realms, but the “super accurate” part doesn’t always apply.
This means that, for any given requirement, traditional vs AI approaches still need weighing up.
Right now we either seem to be being told that AI is the answer to everything, or that it is completely over hyped; even deeply problematic, considering things like AI slop, AI projects that have failed to deliver, AI powered fraud, deep fakes and all the rest.
There are also multiple products popping up with flashy marketing telling people they can ‘vibe code’ a software startup, just using prompts. And yet you’ll notice that developers still have jobs.
Where is reality in this emerging and fast-changing world? As a software development agency, we believe we can offer a balanced perspective.
For a start, there are definitely tasks that Machine Learning (ML) or Large Language Models (LLM’s) can do very well, but they certainly aren’t yet the solution to every problem.
In fact, one slightly confusing aspect is that these new tools are often somewhat the opposite of what we’d gotten used to computers being good at. Forever in a day computers excelled at doing very specific tasks super accurately, over and over again. Now, AI’s have expanded what computers can do into much fuzzier and more human-like realms, but the “super accurate” part doesn’t always apply.
This means that, for any given requirement, traditional vs AI approaches still need weighing up.
What we see working
✅ Staff using LLM’s to find and collate information, analyse large documents, produce draft content, convert data into report formats and much more.
✅ Chatbots in websites, software and apps that are context and subject aware and therefore able to provide meaningful help to users.
✅ Coding assistants that speed up software development.
✅ AI scheduling and note taking tools.
✅ Vibe coded (prompt driven) prototypes of digital products.
✅ Industry-specific applications where there’s high-quality data. E.g., matching rules in a workflow, extracting fields from forms, or tailoring recommendations.
What we see failing
❌ Hype-driven claims like “vibe code” that promise you can ship a reliable product from prompts alone.
❌ Overreliance on off-the-shelf AI models for specialised problems leading to hallucinations, inconsistent output and privacy leaks.
❌ AI automation projects that underestimate the need to properly prepare and clean data.
❌ Lack of clear problem definition before introducing AI, leading to solutions that are technically impressive but commercially irrelevant or unused.
❌ No human-in-the-loop design, resulting in systems that cannot be validated, corrected, or trusted in real-world workflows.
❌ Poor integration with existing systems (CRM, ERP, internal tools), causing AI outputs to sit in isolation rather than driving actual operational impact.
Putti’s AI services include:
Building next gen software leveraging AI’s
Integrating AI’s into existing software
Creating custom AI agents
Data readiness and preparation
Custom AI training systems
AI security, compliance & governance
Integrating AI’s into existing software
Integrating AI’s into existing software
Creating custom AI agents
Data readiness and preparation
Custom AI training systems
AI security, compliance & governance
A simple playbook we use:
Problem discovery and value hypothesis
Data audit and feasibility check
Lightweight prototype with measurable KPIs
Pilot with a selected user group and monitoring
Production rollout plus ongoing model ops and user support
Final word: Be curious, stay thoughtful
AI will reshape how we build and use software; for the better in lots of cases. But it’s not a shortcut to product strategy, nor does it absolve the need for good engineering and design. If you obsess over the problem, own your data, and plan for operations, you’re far more likely to turn AI from hype into genuine advantage.
If you’d like to talk through where AI could actually move the needle for your business give us a shout. We’re Putti: curious, pragmatic and based in Auckland. We’ll help you separate the slop from the stuff that actually works.