The realfast view
Insights|The realfast view
Your largest account wants usage-based billing before renewal, and your Oracle core says next year. Rebuilding a legacy core used to be a project you survived; now it's a choice. The five questions — and where AI does the grind while your people make the calls.
Insights|The realfast view
The entire production diff was about 15,000 lines — roughly thirty lines per engineer per day. AI's real contribution wasn't writing them. It was comprehension, not codegen.
Insights|The realfast view
Most production systems should use AI at the edges and deterministic code in the core. As per-token pricing turns honest, a lot of what's on AI roadmaps today won't survive the look.
Insights|The realfast view
If you take AI transformation advice at face value, the work looks done once the tools are bought — and the business still moves like it did a year ago. The Playground is the pattern that turns the tools into a business that moves differently.
Insights|The realfast view
Every company is being told to go AI Native: hire a Head of AI, stand up a Centre of Excellence, reorg engineering around agents. For most companies that's the wrong conclusion — and Parnas, Conway, and Jevons explain why.
Insights|The realfast view
The "SaaS is dead" debate is fixated on pricing. The real shift is deeper: AI is converting one class of software after another from a scarce asset into cheap, replicable inventory — and below that line, there is no product.
Insights|The realfast view
We tried to fix our timesheets and accidentally built a context graph. Here's what we learned about why operational discipline matters more than architecture.
Insights|The realfast view
35% of companies are already using agentic AI, with another 44% planning deployment soon. But few have restructured how they deliver projects. That gap is where implementation timelines extend and where fixed-price engagements turn into scope management problems.
Insights|The realfast view
ExoHelp turns 3-5 day Salesforce requirements into 30-minute sprints. See how AI analysis eliminates clarification cycles and delivers developer-ready tickets instantly.
Insights|The realfast view
New research reveals that simple AI agents fail at enterprise tasks over a third of the time. And the solution isn't just better models.
Insights|The realfast view
What if, instead of building better dashboards, we changed how humans interface with data entirely?
Insights|The realfast view
A problem evaluation framework we've developed over the past year for both GenAI founders and investors.
Insights|The realfast view
You want your agents to be just smart enough to do the task consistently and reliably, and not any smarter than that.
Insights|The realfast view
Foundational AI and Applied AI operate on entirely different planes. So, the approach you take to build an applied AI company will also be very different.
Insights|The realfast view
Evaluating an AI tool's performance in real-world workflows is inherently more complex than benchmarking the models themselves on established datasets.
Insights|The realfast view
If you think slapping together a basic interface and calling an API is all it takes, then you're clueless about what's really involved.
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