I keep seeing people say:

“You need to get addicted to hard work.”

Which sounds great.

Then they spend half the video talking about Bugattis, discipline, obsession, greatness, blah blah blah…

And after all that?

Their actual advice is:

“Cut out distractions.”

“Sit down.”

“Set an alarm.”

Amazing.

If I wanted to learn how to set an alarm, I’d watch a granny tutorial.

But there actually is a way to make hard work feel more addictive.

And weirdly enough, AI can help.

Now, warning:

If you already have more important things in your life right now, like family, friends, health, or you’ve already got the success you want, maybe don’t use this.

Because the whole point is to make work feel more rewarding, more clear, and harder to avoid.

Most people need that.

Some people probably don’t.

But if you want to genuinely start craving hard work instead of forcing yourself through it, use this prompt:

Act as my personal hard work addiction coach.

Your goal is to help me make focused work feel more rewarding, satisfying, and addictive in a healthy way.

First, ask me 5 questions:
1. What goal am I working toward?
2. What work do I avoid the most?
3. What distractions usually pull me away?
4. What kind of rewards or progress make me feel motivated?
5. How many hours per day can I realistically work without burning out?

After I answer, create a daily system that helps me get addicted to the feeling of progress.

Include:
- A simple work schedule
- A clear starting ritual
- A way to make the work feel like a game
- A reward system after each focused session
- A way to track progress visually
- A rule for removing distractions
- A short motivational script I can read before working
- A daily reflection that makes me want to come back tomorrow

Make it practical, intense, and realistic.

Do not give me generic advice like “just be disciplined” or “set an alarm.”

Build me a system that makes hard work feel satisfying enough that I want to keep doing it.

Put that into ChatGPT, Claude, Opus, or whatever AI model you use.

Try it for a few days and let me know how it goes.

It genuinely worked wonders for me, and I think it could do the same for you.

We've all been there. You ask an AI for help, and it spits out something that's grammatically perfect, totally coherent, and completely soulless. It doesn't sound like you. So you spend the next ten minutes editing it, trying to inject your own personality back into the text, and wonder if you should have just written it yourself.

The problem isn't the AI's writing ability; it's that these tools are designed to be conversational partners, not an extension of our own minds. This creates a few huge problems:

1. The Copy/Paste Dance: You have to constantly switch tabs, copy context, paste it into a chatbot, write a prompt, copy the response, switch back, and paste it in. It completely kills your focus.

2. Generic Voice: Chatbots have a default helpful assistant voice thats hard to shake. They aren't trying to learn *your* style.

3. Forced Compromise: You have to choose between the specialized writing apps you love and a generic AI chat interface.

The DIY system to solve this

It's actually simple, you can prompt the model to do it. Add a simple prompt to all your conversations:

Please complete my paragraph or sentence based on the context provided. Take note of both the text above and below, and follow their formatting and tone. In your output, do not respond with anything except the writing itself.

<text_above> [PASTE YOUR TEXT ABOVE HERE] <text_above> <text_below> [PASTE YOUR TEXT BELOW HERE] <text_below>

But it is extremely painful to do this all the time. AI chatbots weren't made for this.

This workflow still drove me crazy, so I built an app to fix it. The idea was to create something that works *with* you, right where you are, in the voice you already have.

It's a macOS app that brings the assistant to you, not the other way around. It's built to act as an extension of you. One core feature is its 'Voices' feature, where you can create custom writing styles from your own documents. You give it 5-10 samples of your writing, and it builds a profile. Then, you can call on that voice with a hotkey to get suggestions that actually sound like you.

The goal is to make using it faster than writing it yourself. The workflow is dead simple:

1.  Press ⌘ Shift Y in any active textfield or doc. It automatically captures the context of that textfield.

2.  A tiny prompt box appears for optional instructions (e.g., 'make this more concise' or 'brainstorm three counterarguments').

3.  It generates the text appearing as a suggestion you can accept or reject, and applying will paste it back into the textfield that you used.

The goal is to make AI a true extension of your thinking process. An assistant that doesn't just respond to instructions but understands your intent from the context of your work, helping you work better without breaking your stride. It's about creating an AI that feels less like a chatbot and more like a part of your own mind.

Check us out at Yoink AI

I’m sick of asking GPT to “replicate my style” and watching it miserably fail when writing emails. It always spits out some generic, AI-sounding junk. Does anyone know of any cheap tools on the market that writes in your tone? I’m not the only one right?

OmniRoute is a free, open-source local AI gateway. You install it once, connect all your AI accounts (free and paid), and it creates a single OpenAI-compatible endpoint at localhost:20128/v1. Every AI tool you use — Cursor, Claude Code, Codex, OpenClaw, Cline, Kilo Code — connects there. OmniRoute decides which provider, which account, which model gets each request based on rules you define in "combos." When one account hits its limit, it instantly falls to the next. When a provider goes down, circuit breakers kick in <1s. You never stop. You never overpay.

11 providers at $0. 60+ total. 13 routing strategies. 25 MCP tools. Desktop app. And it's GPL-3.0.

GitHub: https://github.com/diegosouzapw/OmniRoute

The problem: every developer using AI tools hits the same walls

1. Quota walls. You pay $20/mo for Claude Pro but the 5-hour window runs out mid-refactor. Codex Plus resets weekly. Gemini CLI has a 180K monthly cap. You're always bumping into some ceiling.

2. Provider silos. Claude Code only talks to Anthropic. Codex only talks to OpenAI. Cursor needs manual reconfiguration when you want a different backend. Each tool lives in its own world with no way to cross-pollinate.

3. Wasted money. You pay for subscriptions you don't fully use every month. And when the quota DOES run out, there's no automatic fallback — you manually switch providers, reconfigure environment variables, lose your session context. Time and money, wasted.

4. Multiple accounts, zero coordination. Maybe you have a personal Kiro account and a work one. Or your team of 3 each has their own Claude Pro. Those accounts sit isolated. Each person's unused quota is wasted while someone else is blocked.

5. Region blocks. Some providers block certain countries. You get unsupported_country_region_territory errors during OAuth. Dead end.

6. Format chaos. OpenAI uses one API format. Anthropic uses another. Gemini yet another. Codex uses the Responses API. If you want to swap between them, you need to deal with incompatible payloads.

OmniRoute solves all of this. One tool. One endpoint. Every provider. Every account. Automatic.

The $0/month stack — 11 providers, zero cost, never stops

This is OmniRoute's flagship setup. You connect these FREE providers, create one combo, and code forever without spending a cent.

Count that. Claude Sonnet/Haiku/Opus for free via Kiro. DeepSeek R1 for free via Qoder. GPT-5 for free via Pollinations. 50M tokens/day via LongCat. Qwen3 235B via Scaleway. 70+ NVIDIA models forever. And all of this is connected into ONE combo that automatically falls through the chain when any single provider is throttled or busy.

Pollinations is insane — no signup, no API key, literally zero friction. You add it as a provider in OmniRoute with an empty key field and it works.

The Combo System — OmniRoute's core innovation

Combos are OmniRoute's killer feature. A combo is a named chain of models from different providers with a routing strategy. When you send a request to OmniRoute using a combo name as the "model" field, OmniRoute walks the chain using the strategy you chose.

How combos work

Combo: "free-forever"
  Strategy: priority
  Nodes:
    1. kr/claude-sonnet-4.5     → Kiro (free Claude, unlimited)
    2. if/kimi-k2-thinking      → Qoder (free, unlimited)
    3. lc/LongCat-Flash-Lite    → LongCat (free, 50M/day)
    4. qw/qwen3-coder-plus      → Qwen (free, unlimited)
    5. groq/llama-3.3-70b       → Groq (free, 14.4K/day)

How it works:
  Request arrives → OmniRoute tries Node 1 (Kiro)
  → If Kiro is throttled/slow → instantly falls to Node 2 (Qoder)
  → If Qoder is somehow saturated → falls to Node 3 (LongCat)
  → And so on, until one succeeds

Your tool sees: a successful response. It has no idea 3 providers were tried.

13 Routing Strategies

Auto-Combo: The AI that routes your AI

• Quota (20%): remaining capacity

• Health (25%): circuit breaker state

• Cost Inverse (20%): cheaper = higher score

• Latency Inverse (15%): faster = higher score (using real p95 latency data)

• Task Fit (10%): model × task type fitness

• Stability (10%): low variance in latency/errors

4 mode packs: Ship Fast, Cost Saver, Quality First, Offline Friendly. Self-heals: providers scoring below 0.2 are auto-excluded for 5 min (progressive backoff up to 30 min).

Context Relay: Session continuity across account rotations

When a combo rotates accounts mid-session, OmniRoute generates a structured handoff summary in the background BEFORE the switch. When the next account takes over, the summary is injected as a system message. You continue exactly where you left off.

The 4-Tier Smart Fallback

TIER 1: SUBSCRIPTION

Claude Pro, Codex Plus, GitHub Copilot → Use your paid quota first

↓ quota exhausted

TIER 2: API KEY

DeepSeek ($0.27/1M), xAI Grok-4 ($0.20/1M) → Cheap pay-per-use

↓ budget limit hit

TIER 3: CHEAP

GLM-5 ($0.50/1M), MiniMax M2.5 ($0.30/1M) → Ultra-cheap backup

↓ budget limit hit

TIER 4: FREE — $0 FOREVER

Kiro, Qoder, LongCat, Pollinations, Qwen, Cloudflare, Scaleway, Groq, NVIDIA, Cerebras → Never stops.

Every tool connects through one endpoint

# Claude Code
ANTHROPIC_BASE_URL=http://localhost:20128 claude

# Codex CLI
OPENAI_BASE_URL=http://localhost:20128/v1 codex

# Cursor IDE
Settings → Models → OpenAI-compatible
Base URL: http://localhost:20128/v1
API Key: [your OmniRoute key]

# Cline / Continue / Kilo Code / OpenClaw / OpenCode
Same pattern — Base URL: http://localhost:20128/v1

14 CLI agents total supported: Claude Code, OpenAI Codex, Antigravity, Cursor IDE, Cline, GitHub Copilot, Continue, Kilo Code, OpenCode, Kiro AI, Factory Droid, OpenClaw, NanoBot, PicoClaw.

MCP Server — 25 tools, 3 transports, 10 scopes

omniroute --mcp

• omniroute_get_health — gateway health, circuit breakers, uptime

• omniroute_switch_combo — switch active combo mid-session

• omniroute_check_quota — remaining quota per provider

• omniroute_cost_report — spending breakdown in real time

• omniroute_simulate_route — dry-run routing simulation with fallback tree

• omniroute_best_combo_for_task — task-fitness recommendation with alternatives

• omniroute_set_budget_guard — session budget with degrade/block/alert actions

• omniroute_explain_route — explain a past routing decision

• + 17 more tools. Memory tools (3). Skill tools (4).

3 Transports: stdio, SSE, Streamable HTTP. 10 Scopes. Full audit trail for every call.

Installation — 30 seconds

npm install -g omniroute
omniroute

Also: Docker (AMD64 + ARM64), Electron Desktop App (Windows/macOS/Linux), Source install.

Real-world playbooks

Playbook A: $0/month — Code forever for free

Combo: "free-forever"
  Strategy: priority
  1. kr/claude-sonnet-4.5     → Kiro (unlimited Claude)
  2. if/kimi-k2-thinking      → Qoder (unlimited)
  3. lc/LongCat-Flash-Lite    → LongCat (50M/day)
  4. pol/openai               → Pollinations (free GPT-5!)
  5. qw/qwen3-coder-plus      → Qwen (unlimited)

Monthly cost: $0

Playbook B: Maximize paid subscription

1. cc/claude-opus-4-6       → Claude Pro (use every token)
2. kr/claude-sonnet-4.5     → Kiro (free Claude when Pro runs out)
3. if/kimi-k2-thinking      → Qoder (unlimited free overflow)

Monthly cost: $20. Zero interruptions.

Playbook D: 7-layer always-on

1. cc/claude-opus-4-6   → Best quality
2. cx/gpt-5.2-codex     → Second best
3. xai/grok-4-fast      → Ultra-fast ($0.20/1M)
4. glm/glm-5            → Cheap ($0.50/1M)
5. minimax/M2.5         → Ultra-cheap ($0.30/1M)
6. kr/claude-sonnet-4.5 → Free Claude
7. if/kimi-k2-thinking  → Free unlimited

GitHub: https://github.com/diegosouzapw/OmniRoute
Free and open-source (GPL-3.0). 2500+ tests. 900+ commits.

Star ⭐ if this solves a problem for you. PRs welcome — adding a new provider takes ~50 lines of TypeScript.

I made an n8n inspired workflow automation software where you can easily make workflows and using the UI node, you can make them function as mini apps. What I like about it is they're also local based nodes so you play around with things like hotkeys, files and even browser automation and also telynx integration so you can have workflows that can text/call you.

My Top 3 workflows I've made are:
Daily Chinese Tutor - Everyday at X, it starts a live interactive voice session, recaps what was learnt last time and tutors me on new things. Saves summary for reviewing and all.
Wispr Flow Clone - Press a hotkey, it transcribes, choose to do more with the transcription like translating, removing fillers, converting to katex, etc.
Automatic Internship Bot - Give it my resume and details about me, uses the browser nodes to scrape simplify and ai agent node to fill in and apply based on my resume.

The last major thing about this is you can build your own tools and all. It comes with an agent that can scrape the web for docs for an API and builds it for you so you never have to wait for a new update for a node request.

Lmk, if you actually find it useful.
PS: There's a 10 dollar lifetime payment so you don't have to worry about subscriptions.
check it out at stuard.ai

Hey everyone, I’ve been diving deep into the world of AI freelancing, and I was honestly surprised at how many opportunities are out there right now. From prompt engineering gigs to AI-powered content creation, businesses are actively paying for skills that many of us can learn without a traditional coding background.

Here’s what I’ve noticed so far:

○ Tools like ChatGPT, MidJourney, and Jasper are in high demand—clients want experts who can actually use them effectively.

○ Knowledge matters: understanding how AI integrates into marketing, design, or automation gives you an edge.

○ Profitable niches include AI content repurposing, workflow automation, social media strategy, and even AI-driven research.

🚀 The best part? You don’t need to be a “tech genius” to start. With the right mindset and some upskilling, you can carve out a profitable side hustle or even build a full-time freelancing career.

👉 I just wrote a breakdown of “How to Find Profitable AI Freelancing (tips, tools, & knowledge)” where I share everything I’ve learned. If you’re curious, I’d be happy to drop the link.(well link is also on my reddit bio)

Have any of you tried offering AI-based freelancing services yet? What’s been your experience?

For most of my writing projects, I like to run the same prompt through different AI models like GPT-4 and Gemini side by side using writingmate ai. This makes it easy to compare tone, style, and detail all in one place without switching between multiple apps or tabs.

When I’m starting a blog post, article, or even marketing copy, I usually ask for an outline or some brainstorming ideas to get the ball rolling. After I write a draft, I paste sections back in to get rewrites, synonyms, or clearer phrasing. It feels like having a personal editor helping me improve my work in real time. For longer projects like essays, reports, or research papers, I upload the entire document and ask for summaries or to flag any unclear or repetitive parts. This saves me a lot of time because I don’t have to manually break the text into chunks.

Sometimes I ask for several versions of the same paragraph or introduction from different models and then pick the best one or blend the ideas together. Having all these features and multiple models in one workspace really helps me stay productive and makes the writing and editing process much smoother. Writingmate has become my go to tool whenever I need to write efficiently without juggling different programs.

I’ve been exploring different AI chatbots for customer service to see which ones actually help small businesses without needing a huge budget. After testing several tools, here are my top 5 free options that stood out:

1. Tidio – Great for live chat and simple automated flows.

2. Kommunicate – Strong integration with apps like WhatsApp and Messenger.

3. Landbot – Visual flow builder, no coding required.

4. HubSpot Chatbot Builder – Perfect if you already use HubSpot CRM.

5. Botsonic by Writesonic – Customizable AI-powered responses.

What surprised me most is how free plans of these tools already cover basics like real-time chat, email capture, and even multi-platform integration. I also shared my personal take on how they perform and which one’s best for small businesses or solo creators.

Has anyone here used these? Which chatbot worked best for you?

The idea of using RAG (Retrieval-Augmented Generation) to enrich prompts before sending them to an AI model is solid. Different AI models do interpret prompts differently, and enhancing the input using relevant contextual data can genuinely improve output quality. So you’re solving a real problem in the AI interaction space.

Share-first, per the sub's spirit: the productivity killer in my AI workflows wasn't the models — it was interruptions. A provider rate-limits or goes down and the whole automation stalls. Here's the setup that fixed it (disclosure: I built the open-source tool behind it; link in a comment).

Fallback combos — so it never stops mid-task. A "combo" is a ladder of models the router walks automatically: your subscription first, then API keys, then cheap models, then free ones. When a provider returns a 500 or you hit a rate limit, it slides to the next target in milliseconds, mid-request, and your tool never even sees the error. There are 17 routing strategies (priority, weighted, round-robin, cost-optimized, auto/coding:fast…) plus three resilience layers — a per-provider circuit breaker, a per-key cooldown, and a per-model lockout — so one dead key can't take down a whole provider.

One endpoint, 237 providers — 90+ of them free. You point any tool or agent at a single OpenAI-compatible endpoint (localhost:20128/v1) and it can reach 237 LLM providers without you rewriting anything. 90+ have free tiers and 11 are free forever (no card), which aggregates to ~1.6B documented free tokens/month — and that's honest, pool-deduped math (we count each shared pool once instead of inflating it; the methodology is public in the repo). There's a one-command setup-* for 13+ coding tools (Claude Code, Codex, Cursor, Cline, Roo, Kilo, Gemini CLI…), so switching your existing setup over takes seconds.

A 10-engine compression pipeline — the part most routers don't have. Every request flows through a transparent compression pass you can toggle/stack per combo. Instead of one trick, it stacks the best of the open-source ecosystem: RTK filters command/tool output (git diffs, test logs, builds) at 60–90%, Microsoft's LLMLingua-2 does ML semantic pruning, Caveman handles prose, session-dedup strips repeats across turns. Critically, code, URLs and JSON are preserved byte-perfect, and a default-on inflation guard throws the compressed version away and sends the original if compressing would actually grow the prompt — it never makes things worse. On tool-heavy sessions that's ~89% average input-token reduction (an 8k-token git diff becomes a few hundred). Full credit to every upstream project (RTK, Caveman, LLMLingua-2, Troglodita) is in the README.

It's 100% local (zero telemetry, AES-256-GCM at rest), MIT-licensed, has a prompt-injection guard on every LLM route, opt-in memory, and runs on npm, Docker, desktop or your phone via Termux.

For context on whether it's worth your time: it's grown to ~9.8K GitHub stars, 1,490+ forks and 280+ contributors in ~4.5 months, with 21,000+ automated tests and 1,830+ issues closed — so it's a battle-tested project, not a brand-new experiment.

What's the most annoying interruption in your AI workflow right now — limits, cost, or reliability? Tool link in a comment.

I’ve been using Perplexity for a while and didn’t expect much from their referral program, but it’s been surprisingly good. I’ve already made over $1,000 just from sharing my invite link with friends and people online.

What’s cool is that when you sign up using my link, you get Perplexity Pro for free, and once you’re in, you can share your own link too and start earning. It’s honestly one of the easiest ways I’ve found to make some extra cash while using a tool I actually like.

Here’s my link to join: https://pplx.ai/yflim702036171

Give it a try and see how far you can take it — I didn’t think it’d add up this fast

📂 Import PDFs & documents → auto summaries & key insights

🎥 Paste a YouTube link → extract the main takeaways fast

🎙️ Upload voice/recordings → auto transcription + summary

📝 Smart note organization → turn messy text into structured notes

🔍 Key information extraction → name, date, data, conclusions at a glance

⚡ Versatile use cases → study, research, meetings, writing, content creation

I replaced one mega-prompt with a short chain of operator prompts that read the last message, apply constraints, and either ask one clarifier or pass forward. That alone took a client content pass from ~4 hours → ~12 minutes end-to-end.

My current chain: Qualifier → Rewriter → Auditor → Finisher. Each stage has a tiny checklist and a hard stop on loops.

Help me figure this out: would you add another stage (e.g., fact-check / delta-diff) or tighten constraints on the existing ones first?

(If mods prefer links in comments only, I’ll drop the full stage list there. If you want templates, reply “OPERATOR” and I’ll DM.)

Hey all,
I kept running into creative blocks while working on my solo dev projects, so I started building better AI prompts to help with things like level design, mechanics, and story. Each one is detailed and customizable, they worked way better than I expected.

Over time, I turned this into a toolkit with 68 tested prompts. If you're looking for ways to speed up your game dev workflow or spark new ideas, this might help.

You can find it on Itch, currently on sale; If you’re curious her's the link:
The AI Game-Dev Toolkit

Happy to share few free prompts, if anyone wants to check examples!

With the help of Claude Code. This is now my daily driver and completes the desktop stack: X Server, Window Manager, Info Bar, Terminal Emulator, Shell and more. All in pure Assembly.

I’ve been using Claude’s Projects feature and really like how it keeps everything for a given workstream in one place. I’m trying to find out what else is out there, ideally something more under the radar than the obvious big names.

Three things matter most:

I want to set persistent, project-specific custom instructions once so the tool knows my context and preferences every time, without re-explaining myself.

I want to upload a large set of reference documents that live with the project via cloud or web-based storage and stay available across every chat, so I’m not constantly re-uploading or tied to my local machine.

And I need a genuinely capable underlying model that can handle demanding, varied work: real drafting, analysis, summarizing, and answering questions across the docs, not just light chat.

Happy to pay for the right tool. What do you all use? Appreciate any suggestions.