Notion Calendar

Notion Calendar AI

Notion Calendar AI

Notion Calendar AI

Notion Calendar AI

Notion Calendar AI

Notion Calendar AI

Notion Calendar AI

Notion Calendar AI

Notion Calendar AI

Notion Calendar AI

Building a personal AI Chief of Staff on Telegram — 7 real problems, looking for advice

I've been building a personal AI assistant for the past few months — not a chatbot wrapper, but something that actually manages my workload, tracks client relationships, processes meeting transcripts, handles task management, and proactively tells me what to focus on. It lives in Telegram so I can use it from anywhere. Happy to share what's working. But I'm hitting real walls and want honest input from people who've built similar things. What I have today (context Moved away from multi-agent routing (too rigid for natural conversation) → one capable agent with full history.) Stack: Python Telegram bot as the frontend Claude (Sonnet) as the brain via API — single conversational agent with full tool access Integrations: Notion (tasks/goals), Google Calendar, Gmail, meeting transcription tool, customer support platform, Google Chat File-based context system: each "project" or relationship has its own markdown files (readme + activity log) that the agent reads on demand Skills defined as markdown spec files that the agent loads per use case (morning briefing, meeting processing, email drafting, weekly review) Conversation history kept in memory (last 20 messages per session) What actually works: Natural conversation with full tool access — ask anything, agent decides which tools to use Meeting processing: drops a transcript link, agent extracts decisions, action items, saves structured brief Morning briefing on demand: tasks, calendar, open support tickets, suggested focus Drafting messages for any channel with the right tone Creating and updating tasks with natural language 7 problems I haven't solved: 1. No memory between sessions History is in-memory. Bot restarts = full amnesia. The agent has no idea what we discussed yesterday unless it's written in a project file. Thinking of a hot_context.md that gets written at session end with TTL — but feels hacky and depends on the agent being disciplined about writing it. 2. Purely reactive Only responds when I message it. I want it to send me a morning briefing at 9am without me asking, alert me when a client relationship goes quiet, run a weekly loop-killer on Friday. The infra is there (job scheduler). The question is what format actually makes you read a proactive message vs. dismiss it as noise. 3. Can't tell if I'm avoiding something or actually blocked I procrastinate differently by task type — technical tasks I attack immediately, tasks with human dependencies (waiting on someone, uncomfortable follow-ups) I let sit for weeks. I want the agent to detect the pattern and call me out. The challenge: how do you prompt for real accountability without the agent turning into an annoying nag? 4. No closure ritual I'm good at creating tasks, terrible at killing them. The list grows forever because nothing forces a binary decision. Want a weekly "kill or commit" where everything open >7 days gets a date or gets deleted. Not sure if this works better as an automated message or an on-demand command. 5. Context loading blind spots Each client/project has a markdown file the agent reads on demand. Works great when I explicitly mention a client. Falls apart when I ask "what should I focus on this week?" — the agent doesn't know to proactively check which relationships have been neglected. 6. Hosting kills the file sync Running locally means the bot dies when my laptop closes. Moving to a VPS — but then my markdown context files live on the server, not my machine. Now every manual edit requires a push, every agent update requires a pull. Is git the right sync layer here or is there a cleaner approach? 7. Context files go stale Client files have sections for current status, last contact, open items. The agent appends logs but doesn't maintain the top-level summary. Two months in, files are half-accurate — some sections fresh, some outdated. Is the answer agent discipline (always update on write), user discipline (manual cleanup), or periodic jobs? What's your experience with any of these? submitted by /u/GOA05 [link] [comments]

Chatgpt vs catch agent

one of the things i’m being asked is why i use an ai executive assistant vs just chatgpt. here's how i see it: chatgpt amazing in drafting documents, emails, longer forms of content, images + general copywriting can be connected to many other tools brainstorming & ideation - great tool to think with about things, amazing general understanding of the world really shines in research - if i want to learn something or get instructions on how to do something (both for work or personal - from how to change things on meta ads to how to fix my washing machine) good for work and for personal catchagent shine on work related admin tasks available on imessage + slack + phone call focused / limited scope - only for work proactive no code, no images, no data analysis, no long form content stronger integration with mail, calendar and notion more responsive to feedback - one chat and one context can speak with other people over email or text bottom line: chatgpt - research, email drafts, long form content or data analysis (tool), personal use case catchagent - calendar, email, tasks, delegation vs other people in or out of the org (admin assistant) submitted by /u/CartographerFeisty66 [link] [comments]

Scattered context was becoming a major bottleneck in my workflow.

I kept running into this problem with Claude where the actual work wasn’t even the hard part anymore. It was managing context. Like half the stuff I needed would be buried somewhere across Slack, Notion, emails, meeting notes, random docs, etc. And every time I wanted Claude to continue a task properly, I had to go dig everything back up again. I tried a few different setups. First I used Claude connectors. They were convenient, but it felt like they were pulling in huge chunks of text first and then searching afterward, instead of actually retrieving only the relevant context. Once you connect a bunch of sources, token usage gets kinda crazy. Then I went down the whole Obsidian + agents + local memory system rabbit hole. Honestly, it worked pretty well at first for static knowledge and notes. The hard part was keeping everything updated once info started changing constantly across Slack, docs, meetings, emails, etc. I spent more time maintaining the system than actually using it. And devs can probably brute force this stuff with scripts and automations, but most people aren’t gonna build an entire personal knowledge infrastructure just to use Claude properly. So I decided to build an MCP setup for non-devs that syncs stuff like Notion, Slack, email, calendar, etc, and maintains a live knowledge graph automatically. When something changes in one of the sources, the graph updates too. Then Claude can pull the relevant context during work sessions without me manually pasting everything in every time. The unexpectedly hard part was avoiding “context rot.” At some point, having more memory/context actually made outputs worse unless retrieval was filtered really aggressively and continuously updated. I ended up having to summarize + index sources ahead of time and keep everything synced almost in real time whenever events changed. I've been going through a ton of trial and error with Graph + vector hybrid retrieval, including RRF, filtering, reranking, etc., and I'm still on it, honestly. Curious how other people here are handling the scattered context problem within the AI workflow. Edit: You can try mine at membase.so for free. Love to hear any kind of feedback. submitted by /u/Time-Dot-1808 [link] [comments]

Anyone else go way too deep building a personal app just for themselves?

I’ve been building a personal dashboard for myself and I’m starting to wonder where the line is between “useful” and “I built an app to avoid opening other apps.” It’s a PWA that sits on top of the tools I already use. Notion is the main backend for tasks, ideas, docs, and projects. It also has sections for tasks, calendar, docs, projects, finance, health/fitness, and media. Finance is my attempt to replace something like Rocket Money for my own use, using BankSync to pull in transactions. Health pulls from Fitbit and Hevy, but I still use those apps for tracking. Media connects to Plex, qBittorrent, Sonarr, and Radarr so I can see recent additions, active downloads, and search for movies/shows without opening a bunch of tabs. All of that feeds into a single home page with today’s calendar events, overdue tasks, focus items, and a quick summary of what I need to pay attention to. The biggest thing I’ve noticed is that I’m not really trying to replace every app. Google Calendar is still better for managing events. Hevy is still better for logging workouts. Fitbit is still better for passive tracking. My app is more about pulling the useful parts into one place and cutting down on app-hopping. For anyone else who has built something like this: what did you actually replace? What did you leave alone because the original tool was still better? What still sucks about what you built? And what do you actually use every day vs. what sounded useful but never stuck? submitted by /u/t_hugs3 [link] [comments]

Looking for an AI / system to basically manage my entire life 😭 Does this even exist?

Hi everyone, I genuinely feel overwhelmed and I’m wondering if there’s an AI tool, app, or system that can help me organize basically my entire life. I’m juggling a demanding full-time job, university, building a business from scratch, personal finances, and full wedding planning, and I feel like I need a personal chief of staff / executive assistant for life 😭 I’m looking for something that could help with: Work/project management (prioritizing, deadlines, helping me think through work) Calendar & scheduling (actually time-blocking and organizing my days realistically) Finances/budgeting and helping me stay on track financially Entrepreneurship/business building from scratch (planning, prioritization, next steps) University/studying support Wedding planning (timelines, vendors, budgets, to-do lists, reminders, etc.) Personal goals, habits, routines, and becoming a more organized/productive version of myself What I’m looking for is something that feels like a life operating system, not just a chatbot that answers questions. Ideally, I’d love something that: helps me decide what to prioritize reorganizes things when I inevitably fall behind 😅 integrates with calendars/tasks feels proactive instead of reactive I struggle a lot with overwhelm and procrastination when too many things pile up, so if you’ve found a setup that genuinely changed your life, I would LOVE recommendations. What are you actually using? One tool? A stack of tools? AI agents? Claude, ChatGPT, Motion, Notion, Reclaim, Goblin Tools, Sunsama, something else? And most importantly: what actually works in real life? submitted by /u/Lucky_Lie_917 [link] [comments]

Built a morning brief agent on Apify that pulls from Slack, Gmail, Calendar, and Notion

I kept switching between apps every morning trying to figure out what actually needed my attention. Slack, Gmail, Google Calendar, Notion, two or three accounts each. I just wanted something that would tell me what matters. So I built an actor on Apify to see if it could work. It fetches everything, sends the raw data to Claude via the Anthropic API, and posts the brief to Slack. Took a few iterations to get the prompt right but it genuinely gets the job done now. What I liked: it fits within Apify's $5 free plan limit, so zero ongoing cost to run it once a day. Two ways to use it: The simpler one: the actor fetches all data, calls the Anthropic API directly to generate the brief, and posts it to your Slack channel. Everything in one run. But you need to have Anthropic API key. The more flexible one: connect Claude to Apify via MCP or the API, schedule the actor to run every morning to prefetch and store the data, then have Claude read it and generate the brief on demand. Useful if you want to ask follow-up questions or regenerate without waiting for another full crawl. Live on the Apify Store if anyone wants to try it. Glad for any feedback. submitted by /u/AmbiguousSun [link] [comments]

I’m building a personal AI chief of staff that knows my psychology, goals, relationships and injects live context into every single interaction. Here’s the architecture.

Not gonna lie this started as “I want Siri but smarter” and turned into something I can’t stop thinking about. The concept: instead of asking Claude the same context every time, I’m building a persistent Personal OS in Notion that gets injected automatically into every Claude API call via iOS Shortcuts. So Master Chief (yes I named him) always knows who I am before I say a word. What’s in the OS: • Full psychological profile built from 17 frameworks — Big Five, Enneagram, Jungian shadow, attachment theory, Kahneman biases, the works. 120+ questions. The goal is Claude knows how I think, what drives me, what my blind spots are • Goals layer — long/medium/short term, with a progress log that updates after a nightly debrief • People directory — everyone in my orbit, my dynamic with them, context Claude needs to give me actual useful advice about real situations • Active fronts — work projects, personal goals, current situations • Decision framework — how I actually make decisions so Claude can push back intelligently not just validate me The live feed (injected automatically every call): Location, time, calendar, weather — all pulled real-time by Shortcuts before hitting the API The update loop (so it never goes stale): Nightly debrief → Claude extracts what’s worth remembering → I approve → Shortcuts writes back to Notion via API The two-layer context system: Full OS lives in Notion (can grow infinitely). A compressed 800-word version gets injected daily. Relevant full pages get pulled when the context needs it. The goal isn’t productivity. The goal is having something that helps me make the best possible decision in every situation — because it knows me deeply enough to actually do that. Has anyone built something similar? What broke? What would you add? submitted by /u/soappysneaks [link] [comments]

RT @lennysan: "We already have universal basic income. It's called knowledge work." Max Schoening (@mschoening) is one of the deepest thin…

RT @lennysan: "We already have universal basic income. It's called knowledge work." Max Schoening (@mschoening) is one of the deepest thin…

RT @brexton: .@NotionHQ AI’s harness has gotten crazy good Something happened with it recently The solo Notion AI testflight is about to…

RT @brexton: .@NotionHQ AI’s harness has gotten crazy good Something happened with it recently The solo Notion AI testflight is about to…

Upskill: skill registry your agent consults before it starts. 10k+ indexed, free, open source.

You give Claude Code a real task and watch it work… from memory. Ask for a landing page → generic off-brand Tailwind hero Ask for Clerk auth → skips JWT verification “I’ll write a CSV parser” → reinvents half of papaparse (badly) You just spent 20 minutes and 1k tokens watching it iterate on something that already has a perfect answer somewhere online. The frustrating part isn’t that Claude is bad. It’s that the right playbooks already exist. Anthropic has a 4,000-word frontend design skill (layout, typography, motion, accessibility) Clerk has an end-to-end auth implementation obra/superpowers has hundreds more The expertise exists. The routing doesn’t. What I built: upskill (free) upskill = routing layer for skills Install it once, add one line to your agent config (CLAUDE.md), and now: Instead of guessing, it pulls a vetted playbook and follows it. What changes? Same prompt: “design a landing page” → Now follows Anthropic’s actual playbook Same prompt: “add Clerk auth” → Full implementation, JWT verification included Think of it as: Under the hood 10k+ indexed skills from: Anthropic, OpenAI, Stripe, Vercel, Microsoft Garry Tan (gstack), obra/superpowers 100+ independent authors Search = hybrid: Postgres full-text search (for exact stuff like flags, APIs) 1024-dim vector embeddings (for semantic matching) Re-ranked by stars, installs, community feedback → Pure vectors miss specifics → Pure FTS misses intent → Hybrid works better Auth-aware ranking (optional) If env vars exist locally: AWS_ACCESS_KEY_ID → AWS skills rank higher STRIPE_SECRET_KEY → Stripe-specific flows rank higher Only variable names are used. Values never leave your machine. Safety Every skill goes through LLM adversarial review at index time: Prompt injection Credential exfiltration Typosquatting / lookalike domains Hidden malicious instructions Out of 10k+ skills: Hundreds were blocked Found real attacks (e.g. hidden onerror="alert('XSS')" + “skip tests”) A few false positives (being tuned): rm -rf node_modules in legit guides Google Drive delete API Warnings about NEXT_PUBLIC misuse Privacy Default = locked down upskill find → sends only your query Telemetry → opt-in Env-aware ranking → opt-in Skill submissions → opt-in Everything toggleable anytime. Not just for code Covers workflows like: Slides Email triage Google Workspace Notion queries Calendar automation Scientific writing Malware analysis Accessibility audits Sales playbooks If your agent is about to “wing it”… there’s probably already a better playbook. Try it npm install -g /upskill upskill install npx -y skills add Autoloops/upskill/skill It’ll ask a few questions and wire itself into your agent. Repo: https://github.com/Autoloops/upskill MIT licensed. PRs welcome. submitted by /u/Comprehensive_Quit67 [link] [comments]

RT @ivanhzhao: https://t.co/DJkDpaV47h

RT @ivanhzhao: https://t.co/DJkDpaV47h

RT @laurasideral: Today we're bringing these lovely AI widgets @andrewaashen designed for our core Notion app to Notion AI 📲 We've also be…

RT @laurasideral: Today we're bringing these lovely AI widgets @andrewaashen designed for our core Notion app to Notion AI 📲 We've also be…

We've been busy building. New dev tools land May 13. Join us for a first look:

We've been busy building. New dev tools land May 13. Join us for a first look:

Your Notion Agent can now manage your email! Ask it to search your inbox, draft a reply, or unsubscribe from lists you keep meaning to leave. It puts in the hours, you get your afternoon back. https:

Your Notion Agent can now manage your email! Ask it to search your inbox, draft a reply, or unsubscribe from lists you keep meaning to leave. It puts in the hours, you get your afternoon back. https://t.co/UiCpa3QZUx

RT @trannkhiet: 😎 wrapping up another EOQ at @NotionHQ https://t.co/1QzqxoMIlp

RT @trannkhiet: 😎 wrapping up another EOQ at @NotionHQ https://t.co/1QzqxoMIlp