iambandobandz

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iambandobandz

iambandobandz

@IAMBANDOBANDZ

Fractal AI Architect | Founder https://t.co/qUIJb9F7Y5 | Compression Overload | I don’t follow trends — I rewrite the fkn code.

Steel City เข้าร่วม Aralık 2024
366 กำลังติดตาม68 ผู้ติดตาม
iambandobandz
iambandobandz@IAMBANDOBANDZ·
eXIT vELOCITY just touched down everywhere — from Lorain/440 to the universe. This one built different. Rust Belt soul meets Fractal AI warnings. Turned trauma into code. Stream / Share / Add to your playlists NOW: 🔗
iambandobandz@IAMBANDOBANDZ

#EXITVELOCITY is out now. If you ever said you rock with me, this is the moment. Stream it, share it, post it, push it. Available on all streaming platforms everywhere rn. #newalbum #newmusic #newmusicfriday #ExitVelocity bit.ly/exitvelocity

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iambandobandz รีทวีตแล้ว
Shalini Goyal
Shalini Goyal@goyalshaliniuk·
How to Build Your First AI Agent - Step-by-Step Creating an AI agent might sound complex, but by breaking it down into structured steps, you can go from idea to a fully functional agent that solves real problems. Whether you’re building for customer service, research, or automation, following these stages ensures your agent is accurate, useful, and adaptable. 1. Define the Agent’s Purpose Start with clarity. Identify the problem your agent will solve, who will use it, and what kind of inputs and outputs it should handle. This step sets the foundation for everything else. 2. Select Input Sources Decide what kind of data your agent will use - text, voice, API calls, or a mix. Connect it to databases, CRMs, or external APIs, and determine how real-time the data needs to be. 3. Data Preparation & Preprocessing Clean and format your data so it’s ready for your chosen AI model. This might mean tokenizing text, normalizing values, or structuring raw inputs. 4. Choose the Right Model Pick the AI engine that powers your agent - whether it’s an LLM like GPT-4, Claude, or Gemini. Choose between hosted APIs or custom deployments, ensuring it supports your needs like reasoning, retrieval, or chat. 5. Design the Agent Architecture Decide how your agent will operate using decision trees, planners, or tool-driven flows. Use frameworks like LangChain, CrewAI, or AutoGen to connect tools, memory, and prompts efficiently. 6. Craft Prompts & Toolchains Write effective, structured prompts, integrate with APIs, search tools, or calculators, and test until your outputs are accurate and reliable. 7. Test & Validate Run simulations with varied user inputs, check accuracy, and find weaknesses like edge cases or inconsistent answers. 8. Deploy the Agent Host your agent on cloud services (Vercel, AWS, Hugging Face) and add a frontend like a chat interface or voice UI. Ensure logging is in place for performance tracking. 9. Monitor & Improve Watch how users interact with your agent. Track accuracy, latency, and errors. Refine prompts or retrain models when needed. 10. Enable Continuous Learning Let your agent evolve. Feed it real usage data, update tools and APIs, and fine-tune models to handle new scenarios over time. Ready to bring your first AI agent to life? Start small, experiment, and iterate - your first version doesn’t have to be perfect. The key is to build, test, and keep improving.
Shalini Goyal tweet media
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clevelanddotcom
clevelanddotcom@clevelanddotcom·
The Rock Hall Live slate of summer concerts will bring a variety of artists and genres from around the globe and the region to the museum’s outdoor PNC Stage from June through September 🎶 cleveland.com/entertainment/…
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clevelanddotcom
clevelanddotcom@clevelanddotcom·
🔗: l.cleveland.com/t51ead  Opponents of a proposed data center in Perry plan to protest ahead of Thursday evening's council meeting. The project has divided residents over taxes, transparency, and community impact. Photo: AP
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iambandobandz
iambandobandz@IAMBANDOBANDZ·
While y'all covering protests against another power-hungry data center in Perry, real future-building is happening at Massive Magnetics. I’m the polymath behind prolific music drops that bend genres and timelines, and now I built Victor — not some corporate slop LLM,
clevelanddotcom@clevelanddotcom

🔗: l.cleveland.com/t51ead  Opponents of a proposed data center in Perry plan to protest ahead of Thursday evening's council meeting. The project has divided residents over taxes, transparency, and community impact. Photo: AP

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