Kaan - Insights
Showing posts tagged for AI Engineering.
2026-03-14
The real alpha is not in gradient apps or vibe-coded clones. It is in accelerated data enrichment and AI-native quantitative research.
2026-03-09
I burned through my remaining credits to deploy an agent skill that generates executive reports with live charts and KPIs.
2026-03-06
Agent skills are token optimized and highly efficient, but they break when you move to a new ecosystem. Platform-agnostic junctions fix that.
2026-03-04
Three platforms, three distinct approaches, one clear winner that captures actual market signal instead of speculative noise.
2026-02-28
For the 9th instalment of Cursor Meetup in Canada's Capital, I transformed the format from surface level AI exploration into automation mechanics.
2026-02-25
Terminal native AI agents now execute decisions, manipulate infrastructure, and manage entire systems without human intermediation.
2026-02-18
In markets where capabilities shift weekly, competitive advantage resides entirely in information velocity.
2026-02-15
This type of technology comes every 150 years, if not more. Make use of it as a starving man would make use of food.
2026-02-07
Delivered a hands-on workshop about maintaining design consistency across long running projects while shipping new features.
2026-02-04
The market offers Cursor, Lovable, Claude Code, Antigravity, Amp, Replit, and v0. Navigating the noise is now a critical skill.
2026-01-29
I have been deploying agent skills heavily for the past two months. There is a learning curve, but these skills pay massive dividends.
2026-01-29
We launched a spontaneous session of Claude Code Anonymous during the AI Tinkerers Ottawa hacker house. The barrier to entry has collapsed.
2026-01-28
Agents deliver when you constrain creative capacity within executable sandboxes. Open ended prompts generate inconsistent outputs.
2026-01-27
My current project uses fractional differentiation to insert signals at better precision when news or social media sentiment proves useful for stock price prediction.
2026-01-25
I wanted to bridge the gap between cool aesthetics and base utility. The result was a CRM/Lead Tracker on steroids.
2026-01-24
Jim Simons didn't just build algorithms that predicted the market. He built systems that captured something more fundamental: human behaviour at scale.
2026-01-20
An agent that can't teach itself contradicts itself. Build agents that improve themselves. Static ones don't survive.
2026-01-19
Text becomes vectors, vectors become embeddings, and embeddings enable the model to weigh meaning and context before generating a response.
2026-01-18
Our latest meetup shifted past theory into daily LLM automation, focusing on transforming email and message tone without stripping context.
2026-01-15
Most market research teams hit a capacity wall that forces them to choose between scale and quality. I broke through it by automating the intake.
2026-01-12
The goal is to collapse months of individual experimentation into a single evening.
2026-01-11
Memory transforms LLM assisted systems. That's why we partnered with Backboard.io for our inaugural hacker house hackathon.
2026-01-09
Beating the market is brutally difficult. Outperforming the S&P 500 by even 1% demands elite level edge.
2026-01-08
Building consumer apps transformed my understanding of retention. User behavior data surfaces what analytics dashboards usually miss.
2026-01-05
Without verification, you're building on unvalidated information that can hallucinate insights and destroy reliability.
2026-01-05
Retention doesn't improve by shipping more features. It improves by building visibility into why the right users stay.
2026-01-01
The most efficient approach boils down to one principle: write the specification, then let the AI build to spec.
2025-12-24
If your product's response time is off by even a fraction of a second, you might have already lost.
2025-12-23
Our December Cursor meetup turned into a dive on state management with speed, ontology, and fact artifacts.
2025-12-11
Data visualization has to capture the fundamentals. One look, minimal filtering, and it should drive your next immediate decision.
2025-12-06
While giants battle over GPUs, token efficiency is emerging as an equally critical bottleneck.
2025-12-04
Years of individual experimentation collapsing into a set of evenings. The edges of AI tooling get mapped fastest in a room of power users.
2025-11-29
Single stock prediction algorithms perform quite poorly. Ensemble methods cut prediction errors by roughly 22%.
2025-11-21
Traditional API chaining is just do this then that with no validation and no recovery. I built something that evaluates outputs and decides what to do next.
2025-11-17
Negative feedback outperformed positive reinforcement. Reward design beat algorithmic complexity. Richer observations led to better generalization.
2025-05-22
Users needed better context management for AI workflows. I built an MCP optimization system with smart caching and real-time feedback.
2025-05-22
4 different AI Providers, 5 hours of implementation, a B2B product that supercharges sales through autonomous analysis.
2025-03-18
My demo focused on the more technical use-case of Perplexity Sonar as a best coding practices and documentation assistant.