Delivery Manager turned creator. I build Notion templates and productivity tools. No fluff, just systems that work. Real experience, not theory.

Joined May 2023
316 Photos and videos
Pinned Tweet
The future Scrum team isn't 7 humans. It's 5 humans 3 AI agents: - Product Owner Agent - Scrum Master Agent - Engineer Agent Humans set direction. Agents remove drag. Same ceremonies. New teammates.
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CutTheFluff retweeted
When the EU AI Act goes into effect on August 2nd, regulators will want to know what your AI system decided, why it decided that, and will want a tamper-proof record.
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macOS Tiburon Wallpaper basicappleguy.com/haberdasheโ€ฆ
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Simplicity is indeed the key to successful communication and collaboration.
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I really like the BRAIN framework for making decisions - simple to remember and intuitive to use ๐Ÿ‘
Replying to @Fuel_YourGrowth
Epic breakdown right here
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Powerful capabilities ๐Ÿš€
Replying to @ClaudeDevs
More on how the orchestration works, and what early users have built with it, on the blog: claude.com/blog/introducing-โ€ฆ
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May 28
Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today at the same price.
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Introducing @TheRealStanLee on ElevenLabs. The voice of a legend is now available on the Iconic Marketplace and in ElevenReader. Crafted from professional recordings, Stanโ€™s wit and warmth comes through exactly as you remember it.
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Weโ€™ve shipped a security-guidance plugin for Claude Code that helps identify and fix vulnerabilities as youโ€™re writing code. Available for all Claude Code users. Install from the plugin marketplace (/plugins).
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Very insightful and inspiring to move on and continue the journey of self-development ๐Ÿš€
Everyone needs to read this... The Crab Mentality (a visual thread)
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Introducing Speech Engine. Developers can now turn their existing chat agent into a full voice agent with one prompt. Speech Engine combines our leading speech, transcription, and voice orchestration models into a single pipeline - all custom built to work best together.
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May 20
Plan and track your software releases directly from Linear. Linear Releases integrates with your CI/CD tools to precisely track the deployment environment, version, and status of every issue, giving team members and agents your full deployment context. Here's how it works โ†“
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Here is the basic development stack for MVPs: Next.js, Supabase, Vercel, Pinecone. LangFuse for LLM observability. PostHog and Amplitude for behaviour. Nothing experimental here.
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Poland is exploring powerful new ways to bring voice agents into public services. This summer, the government is rolling out a voice agent for the national healthcare system (Centralna e-Rejestracja) - proudly powered by @ElevenLabs and supported by NFZ. The agent calls patients who only have a landline, reminds them about upcoming appointments, and helps them reschedule if needed. With 40 million appointments a year and 10-20% no-show rates, this can significantly improve access to healthcare for people across Poland.
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In 2026, 3-6 months for an MVP doesn't make sense anymore. Not for founders, not for Software Houses, not for internal product teams. Hereโ€™s what the up to 4-week version actually looks like.๐Ÿ‘‡
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Really useful functionality ๐Ÿ™Œ
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Linear Agent ร— Code Intelligence Ask Linear how a feature is implemented, why something behaves a certain way, or which technical constraints should shape a project plan โ€“ without digging through the codebase or interrupting an engineer.
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Hiring is hard. Reviewing candidates fairly is harder. Every interviewer has a bad day, a favourite question, and some blind spot. An AI Agent fixes that: - same dimensions for every candidate - same flow for every interview - same structure for interview meeting - feedback and recommendation drafted in minutes Candidates get clarity. Recruiters get signal. Here is the agent concept that you can use for your context.
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If you would like to have an agent that acts as candid user stories reviewer here is one of the example how you can build it. It will be beneficial for everyone working with product requirements.
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If you need a Security Reviewer Agent here is one of the example that can help you in building one.
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An AI-augmented org runs on a repo tree: - department/* โ†’ each function (Eng, Ops, PM, People) owns its repo - playbooks, prompts, SOPs, instrucitons - project/* โ†’ one repo per client's project - /shared-plugin โ†’ one repo - common agents, prompts, guardrails used across the org
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Sprint Planning isn't "pick tickets." It's 4 answers: - sprint goal - capacity - scope trade-offs - definition of done Notion template locks the structure. AI surfaces risks from last sprint. Humans commit.
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