2026-06-08 Понедельник

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No Coding Required: Build Your First AI Agent in 2 Days (Complete Tutorial)

A No-Code Guide to Building Your First AI Agent in a Weekend This article presents a weekend, zero-code tutorial for beginners to build a functional AI Agent using tools like Claude. It clarifies the core difference between a chatbot, which responds to queries, and an Agent, which autonomously plans and executes multi-step tasks using tools to deliver a final result. The process is broken into four stages over two days: 1. **Saturday Morning: Understanding Agents.** Learn that an Agent requires a clear Goal, a Plan, necessary Tools, and an execution Loop. Identify a simple, multi-step task from your own work/life as your first project. 2. **Saturday Afternoon: Building with Claude.** Create a one-page "Agent Blueprint" answering: the Goal, sequential Steps, required Tools, the desired Output format, and error-handling rules. Implement this blueprint in Claude (Desktop Cowork or web Projects) and run the Agent for the first time. 3. **Sunday Morning: Debugging & Optimization.** Review the initial (often 60-70% accurate) output. Identify flaws, trace them back to vague instructions in your blueprint, and refine it with more specific criteria and error handling. Iterate this run-review-refine cycle 3-4 times to reach ~90% reliability. 4. **Sunday Afternoon: Expansion.** Apply the learned workflow to quickly build a second, different Agent (e.g., for research, content repurposing, or meeting prep), experiencing the compounding efficiency gains. The core skill is not writing a perfect blueprint initially, but rapidly iterating based on output. By the end of the weekend, you'll have built two usable Agents, moving beyond just chatting with AI to automating multi-step workflows, fundamentally changing how you approach repetitive tasks.

marsbit05/16 15:19

No Coding Required: Build Your First AI Agent in 2 Days (Complete Tutorial)

marsbit05/16 15:19

Winter for Crypto IPOs: Consensys and Ledger Withdraw Applications

The crypto IPO window is tightening significantly in 2026, marked by prominent companies delaying or pausing their public listing plans. Following a successful 2025 "harvest year" that saw Circle, Bullish, and Gemini go public amidst a bull market, the tide has turned. Consensys, developer of MetaMask, recently postponed its IPO until at least fall 2026. Hardware wallet leader Ledger also suspended its planned US listing due to unfavorable market conditions, with Kraken having previously delayed its own plans. This shift is driven by a cooling market in 2026, characterized by a significant Bitcoin price correction, declining trading volumes, and reduced investor risk appetite for crypto stocks. The poor post-IPO performance of 2025 listings like Circle and Bullish, which saw major share price declines, has heightened investor caution. This contrasts sharply with the current AI sector, where companies like SpaceX, OpenAI, and Anthropic are commanding massive valuations and investor enthusiasm based on narratives of stable, exponential growth. Crypto companies now face pressure to transition from hype-driven models to demonstrating reliable cash flows and robust compliance. While the paused IPO plans may lead to valuation resets and affect ecosystem liquidity, they also accelerate industry consolidation toward stronger, more compliant infrastructure players. A potential recovery in Bitcoin's price and clearer regulations could reopen the IPO window in the latter half of 2026.

marsbit05/16 10:59

Winter for Crypto IPOs: Consensys and Ledger Withdraw Applications

marsbit05/16 10:59

ChatGPT Can Manage Your Money for You. Would You Trust It with Your Bank Account?

OpenAI has launched a personal finance tool for ChatGPT, currently in preview for US-based ChatGPT Pro users. This feature allows users to connect their bank and investment accounts (via Plaid, supporting over 12,000 institutions) directly to ChatGPT. It analyzes transactions, generates visual dashboards, and offers conversational financial advice—such as budgeting or planning for major purchases—based on the user's actual data. This move follows OpenAI's acquisitions of fintech startups Roi and Hiro Finance, signaling a strategic push into vertical "super assistant" applications, similar to its earlier health-focused feature. However, the launch has sparked significant privacy concerns. Critics question the safety of granting such sensitive financial access to an AI, especially amid ongoing lawsuits alleging OpenAI shared user chat data with third parties like Meta and Google. OpenAI emphasizes that ChatGPT only reads data (no transaction capabilities), deletes it within 30 days if disconnected, and offers opt-out options for model training. Yet, trust remains a major hurdle. The trend reflects a broader industry shift: AI companies like Anthropic and Perplexity are also targeting high-value, data-rich domains like finance and health. While technically promising, the tool operates in a regulatory gray area—it provides personalized guidance but disclaims formal financial advice or liability. Ultimately, OpenAI's challenge is convincing users to trust an AI with their most private financial information.

marsbit05/16 10:58

ChatGPT Can Manage Your Money for You. Would You Trust It with Your Bank Account?

marsbit05/16 10:58

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