PRSM

285.2688M $PRSM tokens locked over 28 months Time to lock in solscan.io/tx/2hctb6WTECb…

Stream starting now!

PRSM Live Day 6 twitter.com/i/broadcasts/1…

A lot of people might be wondering about our decision to focus on orchestrating code-based systems, while deferring other kinds of systems until later We've found a real issue with other agentic tools is that they try to cover too many niches at once, and end up getting 90% of the way on everything while missing the last, most difficult 10% By focusing solely on programming, it puts us in a position where we can put real thought and care into addressing that last 10% so you aren't left with a system that works for the time being but is unmaintainable and breaks 3 months into the future.

Streaming again tn at 8:30 PM on X and Pump

Earlier, I promised I would provide examples of what I meant when I said I was hardening the prompt structure in the mail system. After today's improvements, the internal mcp payloads are automatically compiled into formats like those seen below to ensure agents can communicate more optimally within our architecture These enhancements should greatly improve the agents' ability to meaningfully interact with one another, without overloading the system prompt

Streaming tonight at 8:30 EST on X and Pump!

New Telegram: t.me/PRSM_PORTAL

@schnizell Remember, if you already pay for AI tools like Codex Claude or Gemini, you can use PRSM for free.

@prsmdev How much is the basis subscription ?

Unlike openclaw, if you don’t want to use API keys, PRSM does NOT spoof OAuth and instead relies on existing CLI interfaces. This means your Claude, Codex or Gemini subscriptions already work out of the box making PRSM free to use. And all of your sessions can easily be imported. It’s also very easy to rebalance what types of agents are used for certain tasks by tuning affinities in PRSM settings. This allows you to purchase a Standard subscription from us to get access to the best models for critical tasks but predominantly use your existing subscription for most tasks if you wish.

@schnizell Too early to promise any specific numbers, but it will be competitive with existing AI subscriptions. We will also work with our beta testers and our users to define fair usage tiers

Reached out to the team and found them very responsive. Showed me they have a real desire to engage with the community. Everything I've encountered here also shows me this is a legit project that the team is in it to win it. Looking forward to developments with this project.

@alaajawhareng Good advice

@prsmdev The system prompt is doing a lot of heavy lifting that most builders underestimate. One thing that helped me: separating capability definition from behavioral constraints into distinct blocks. Easier to debug when the agent misbehaves.

I'm carefully considering prompt structure while building the new mailing system The system prompt provides a good way of informing models what they're capable of, but it's easy for them to forget or ignore as it falls further away in context By consistently reminding them not just what has been communicated but how they should communicate back, including using scheduled reminders, I want to maximize the value agents can extract from this unique system Examples coming later

Primarily by keeping each agent or expert solely focused on a particular task, with even its memory tailored toward the problems associated with that particular domain. Much of what causes agent drift is the fact that users will make one model very quickly switch context and solve problems as they arise, which can span across very different domains over the scope of their project. This degrades context quality substantially. It might be easier to imagine when looked at through a more human lens. You have to consider that these agents are effectively doing all the same things a programmer previously would have, just much faster. However, they're still subject to the same loss of focus a normal human would be if they were rapidly switching between solving many different problems. We just assume they wouldn't because we're seeing the situation from a different temporal lens. By constraining agents to focus on a single problem and delegate effectively based on "expertise", they're able to become more dialed in on the particular problem they're solving rather than juggling many threads at once.

@prsmdev How does this CAD constraint approach fix the “agent drift” we've already saw in some multi-agent demos?

While working on this project, many of the ideas behind CAD software come to mind Particularly, the idea of constraining your models so that you can create large assemblies while ensuring consistency in sub-components Many seem to think that the best route for agentic engineering is maximum model freedom or agency, but scalable solutions in actual industry tell a completely different story I think that many engineers right now are overlooking the effectiveness of imposing restrictions on a granular level to achieve freedom at a systemic one

@yasar9822 Yes, March 29th

@prsmdev Any date for Beta launch

Streaming at 8:30pm EST tn

@AstorcTerence Right now, certainly structured constraints Even humans work better this way, no reason it shouldn't also apply to agents

@prsmdev Should AI agents be given full autonomy or structured constraints?

@yasar9822 Yes! We applied a few weeks ago

@prsmdev Has $prsm applied for the pumpfun hackaton x.com/pumpspotlight

PRSM Live Day 5 twitter.com/i/broadcasts/1…