moekatib

hahah, I am a real human, but good one :P I can prove my humanity, if you could.

haha, you got me! I totally panicked in the moment and asked AI for a quick reply, then had a good laugh about it. Naming across languages can be tricky. Thanks for keeping me on my toes ;P

Thank you for sharing your perspective! We chose Pica because it stands for "Platform for Intelligent, Collaborative Agents" and that really captures our vision.

We recognize naming can be tricky, words carry different connotations across cultures and languages. Still, we’re excited about what Pica will bring to the table, and we hope you’ll judge us more by our product than our name. Thanks again for voicing your thoughts.

Like you, I am biased, but I too love the name. And you are right Pica pica is definitely on the list of smartest animals. Thanks for your support and kind words :)

Unfortunately, no—it's not inherently less of an issue in Rust. It really comes down to the team and their passion for writing maintainable, high-quality code. The language helps, but good practices ultimately rely on the people behind the code.

The current connector allows your LLM to pass any query to your PostgreSQL database. For example, If you have read-only access to your database, you can connect it to Pica and ask the AI agent to list all your tables—it can do that seamlessly. Afterward, you can ask the agent to perform any query, and it will write the query, pass it to Pica via OneTool, and return the results to you.

We’ll also be adding many use cases to our community hub in the coming days, so stay tuned! https://www.picaos.com/community/use-cases

I would love to connect! We currently have about 40 connectors ready to use, and both our team and the community are actively adding more as we go.

btw, we will be launching an MCP support in the coming weeks.

I’m excited to learn more about how we could collaborate to benefit the community :)

Here’s the link to explore our connectors: https://docs.picaos.com/api-reference/connectors Feel free to grab a time on my calendar here: https://calendly.com/moekatib/founder-coffee

The source code for OneTool is available here: https://github.com/picahq/ai

I'll definitely check it out—thanks for sharing!

Pica officially stands for "Platform for Intelligent, Collaborative Agents," reflecting our mission to enable seamless collaboration between AI systems. When we chose the name, we loved that picaos.com was available. While we’re aware of the condition “pica,” we like to think our platform has an insatiable appetite for APIs, integrations, and data—thankfully, no chalk or clay involved! :D

Haha! We're actively enhancing our SDK to enable granular permissions for Connectors, giving you complete control over exactly what your Agent can access!

Agree. We use Rust to build highly performant systems at the lowest level, removing any language-related friction. Our system enables better management and auditing of agent interactions, leading to more effective activations and greater overall impact.

The fix has been deployed

Great question! We’ve developed a CLI specifically for creating and managing Connectors in Pica. It allows you to spin up Pica and seamlessly build integrations tailored to your needs. You can get started here: https://www.npmjs.com/package/@picahq/cli

It works very similarly to RAG but for tools. The SDK loads the necessary configs and schemas for each tool and uses that to guide the AI on how to use the tool effectively based on the latest message.

Thank you for the thoughtful questions :)

The core system is built in Rust for performance, safety, and scalability. Integrations and tools are handled via JSON configs and JS mapping, while the interaction happens through our JS SDKs (Python and more languages coming soon).

We solve three key problems:

1) Simplified API/tool access without blowing up context windows. 2) Full auditability of AI actions for trust and oversight. 3) Seamless human-aligned guardrails for safe autonomy.

For example, with Pica's OneTool, a single agent can manage 40 tools without needing multiple agents and routers, reducing complexity and hallucinations.

Feedback on the site is noted—thank you!

AI agents excel in tasks like automating workflows, handling complex decision trees, and managing multi-step processes across APIs. For example, an agent can monitor a sales pipeline, send follow-ups, update CRMs, or manage logistics autonomously. See our demo here: https://github.com/picahq/onetool-demo.

Pica's OneTool integrates with the Vercel AI SDK and LangChain, simplifying API connections for your LLM. It enhances AI capabilities without expanding the context window, reducing tool-related hallucinations. For example, to work with 40 tools, you'd typically need 4 agents and a router agent. With Pica, a single agent can access all 40 tools simply by adding OneTool to your LLM.

See how it works with Pica here https://github.com/picahq/onetool-demo

Oops, thanks for pointing that out! Pica actually stands for Platform for Intelligent, Collaborative Agents—but as with many words, it seems to have multiple meanings worldwide! We'll take this as a reminder to keep our humor handy while we chase big AI dreams. Appreciate the feedback!