Rumblings of AI szn 2.0 are starting to emerge.
Two coins with the highest potential:
$RALPH
A looping agent that repeatedly runs the model until a task is successfully completed. It feeds Claude’s full output, including errors and test results back into a fresh prompt each iteration. Using a brute force loop continues until a defined success condition is met.
Unlike complex orchestrators, Ralph is intentionally simple, it uses bash scripts or wrappers to relaunch Claude with updated context each time. This avoids prompt degradation and token overflow by resetting the context window per loop. It excels at automating error prone tasks like debugging, test driven development and recursive code refinement, especially when the goal is clear and human oversight is minimal.
Ralph’s like a quant that loops through iterations until it reaches a specific outcome. It excels at tasks where the goal is deterministic and testable, such as building trading strategies, fixing bugs or refining outputs until a pass condition is met. The strength lies in persistence, not planning. Meaning it’s better suited to more experienced developers as you’ll need to have your requirements doc very well thought out.
The roadmap is building loom which is essentially a swarm style framework that just multiples it's loops. @GeoffreyHuntley started building pieces of this future stack (custom source control, sandboxed execution environments, telemetry feedback loops etc) to enable AI weaver agents to not only write code in loops but also coordinate, deploy and self correct on a larger scale.
This would be the end goal and northern star for agents to reach as it combines persistence with orchestration.
This represents the north star for autonomous agents: combining Ralph’s brute force persistence with multi agent orchestration, unlocking full cycle AI development with minimal human oversight.
$GSD
What makes GSD (Get Shit Done) special is its structured validation loop, no plan is executed until a verifier agent confirms it's complete and sound. If a task fails to meet the goal, GSD automatically invokes debugger and planner agents to diagnose and fix the issue, repeating this loop until it passes. This persistence mirrors the Ralph Wiggum “loop until success” model, but with a more disciplined architecture.
Unlike Ralph, which relies on long prompt chains that can run into context window limits, GSD isolates each task into a fresh Claude context, reducing token bloat and avoiding prompt degradation.
While Gas Town uses complex multi agent orchestration, based off a Kubernetes approach, GSD finds a middle ground, coordinating small, validated agent loops that build toward large outcomes without overwhelming infrastructure. It prioritizes clean context reuse, structured planning and token efficient execution while maintaining user control at each phase.
Which is why I like GSD and @official_taches so much. As it works with you in the planning stage to carefully set your requirements and ends up providing a much more accurate result. I really like Ralph as a concept and it opens peoples minds to the possibility of agents which can run fully autonomously.
However, if I’m being specific with my code base and requirements doc, GSD acts more like a senior engineer. Asking all the right questions, making sure there’s logic and cohesion in the code and what databases you’re connected to etc. Throughout the build, it’ll come back to check in, ensuring the current outputs are correct and the system is being built as intended. If I’m a developer or trying to build something with unique customization, this is a massive positive for me.
Both tools are great and are a breath of fresh air. This is the most interesting development we’ve had in a long time. Many are missing the forest for the trees and I’d be paying much more attention if you’re tapped out.
The fact we've got multiple viral dev frameworks to convert over to crypto is really good signs that innovation will be rewarded and the meta continued with the right aptitude towards building.
Covered both of these tokens at 2 mil mcap in my telegram. However I think they go much higher and we’re on the cusp of a large move.