Combine on-chain Vault data with Polygon market metrics to compute token correlation (TC index) and community sentiment (C index) for predictive inves...Show more

Inevitably local model deployments benefit from a constantly evolving data pipeline that ingests, enriches, and annotates data in real time for self-i...Show more

Be cautious with open-source models across different inference providers, as misconfiguration can cause up to a 10-point drop in performance metrics o...Show more

Adopt nested optimization workflows where a model’s continual learning is broken into smaller, self-referential subtasks to mitigate catastrophic forg...Show more

Expose the REACT framework (plan, act, reflect, loop) as discrete thinking blocks to improve model interpretability and debugging.

A Python-based MCP server with 52 built-in tools, capable of being refactored and deployed remotely, and extensible with prompts and resources managem...Show more

A massive Texas beef rib at a random brisket spot made Cameron Rohn feel terrible the next morning, illustrating the cost of culinary indulgence durin...Show more

During a government shutdown, TSA agents remained friendly and efficient despite being furloughed, highlighting human resilience under system stress.

Offer managed remote Python MCP servers with curated tool sets and prompt/resource management for enterprise AI experiments.

Just because everyone talks about new AI trends doesn't mean they're correct; developers need to research deeply rather than follow the hype cycle.

Refactor a local Python MCP server by deploying it remotely with a subset of tools for isolated testing, then integrate prompts and resources in a sec...Show more

Both the AI and their entire stack have pivoted to agents, suggesting developers should structure workflows around autonomous agent patterns.

Incorporate encryption and data-filtering pipelines, as outlined in Anthropic’s privacy article, to secure and de-identify personal information in AI ...Show more

Implement AI agents with built-in scheduling capabilities to automate and sequence tasks without manual intervention.

Use OpenAI’s XJS starter repository as a scaffold to build and submit ChatGPT plugins for consumer-facing experiences.

Despite big players failing to deliver on business promises, there will always be room for competitors in the AI app ecosystem.

Beware that platform owners may absorb popular third-party apps and rebuild them natively, potentially displacing independent developers.

Leverage ChatGPT plugins and real-time data feeds to build an in-stream algorithmic trading experience that could rival platforms like Robinhood.

The HubSpot MCP connector in ChatGPT can ingest CRM data but currently returns overly broad results, necessitating custom filtering layers.

ChatGPT’s code mode enhances context management and enables execution of code-based workflows for advanced data handling.