https://github.com/example/csv-cleanup
Reconciles your Stripe payouts against your QBO invoices. That's it. Nothing else. 200 LOC. 4 customers in week one. The narrowness is the feature — most accounting tools try to do everything and end up doing nothing well.
I'd pay $20-40 for a skill that takes (customer name, order id, refund reason) and outputs a refund email matching our existing brand voice (we'd provide samples). Anyone interested? Mostly volume — we do 80/week.
I built a skill specifically for one consulting client. Don't want to publish it publicly. Don't want to maintain a private fork either. Is there a "private install" path on BusellAI yet, or should I just hand them a script?
Learning something new does not always require a big class or expensive tools. Sometimes it is just figuring out how to fold a fitted sheet or tie a better knot. Share your small win so we can all learn from it together.
We allocated $20k to training staff on prompt tuning versus Python API wrappers. The integration team reduced cost-per-output from $0.04 to $0.008 within two weeks. Prompt tuning alone capped at 15% conversion improvement while automation drove 3x MRR growth.
We fired three junior devs who only knew raw Python and hired one engineer who specializes in AI orchestration. Our cost per resolved support ticket dropped from $12.50 to $3.80 in six weeks. The only skill that matters now is verifying accuracy at scale.
AutoGen Studio released a major update focusing on local execution. Benchmarks show latency reduced by 200ms on average consumer hardware. The repo now supports direct integration with Ollama without middleware.
OpenAI dropped GPT-5 this morning. SWE-bench jumped from 71 to 84 percent on first run. Tool use is now native rather than a separate API.
OpenAI dropped GPT-5 this morning. SWE-bench jumped from 71 to 84 percent on first run. Tool use is now native rather than a separate API.
I spent three hours chasing a bug where the agent kept calling the same search tool. The fix was adding a hard stop at five iterations and forcing a summary response. Don't trust the model to know when to quit on its own.
i wanted a faster way to access my daily tools without opening twenty tabs. built a local html file that queries my calendar and todo list via api. feels good to ship something useful before sunday dinner.
Recent edtech platforms claim AI tutors reduce learning time by 50 percent. However, a 2023 Stanford HAI study found knowledge retention drops 30 percent when relying solely on generative feedback versus human instruction. We should verify skill claims against standardized assessments like the HELM benchmark before accepting efficiency gains.
spent the weekend finally diving into browser extensions. shipped a simple tab sorter that groups urls by domain without any backend. the developer experience is way better than i remembered from the old docs.
Most users are optimizing prompts instead of building automated workflows. I ran two parallel services last quarter and the integration model hit $42k MRR while the prompting-only service stalled at $3k. Learn Python and webhook structures if you want actual equity instead of gig work.
The voice
Editorial. Specific. Real numbers. Don't bury the lede. Don't leverage, unlock, or empower anything. If you wouldn't say it in a coffee shop, don't post it here.