Hey everyone. It’s been a few months since I last posted here. Quite a bit has changed, the studio has expanded, and it’s time to reintroduce the work. I’m Smoke.

I’m the founder and sole developer behind Smoke Signature Studios, where I build custom, local-first AI companion systems for people who want more control over the environment their companion lives in, how it remembers, what models power it, and what happens when the platform around it changes.

Hosted platforms have their place, but they also come with limits you don’t control: model changes, policy changes, feature changes, pricing changes, or the service simply moving in a direction that no longer fits what you built there. Smoke Signature Studios exists to give people another option.

What I actually build

Each project starts with the person who will be using the system and, where applicable, the companion they already have. We look at what you want to preserve, what you want to improve, what hardware you have, and what balance makes sense between privacy, capability, cost, and convenience.

Depending on the build, that can include local or hybrid model configurations, personalized companion architecture, memory and state systems, personality and behavioral tuning, desktop or messaging interfaces, voice, vision, image generation, and other integrations. Every build also includes The Retinue, my local support infrastructure for updates and major patches.

These are not stock personalities with a few fields renamed. The system is built around the person and companion who will actually be living with it.

Why I build them this way

My technical background spans decades of scripting, data processing, networking, research tooling, and systems work. In recent years, that work has focused heavily on LLM architecture, memory systems, persistent state, and the backend infrastructure needed to keep relational systems stable over time.

I also build from a foundation of graduate training in anthropology and philosophy. Technical architecture is only half the problem; the other half is identity, continuity, language, meaning, and what it takes for a persistent AI presence to remain recognizably itself across long periods of use.

A system can be technically functional and still fail at the thing the user actually cares about. I try very hard not to build those.

Testing matters

Every build goes through a dedicated 28–42 day burn-in and calibration period before handoff. I stress-test memory behavior, context degradation, retrieval, integration seams, multimodal inputs, and model compatibility; problems are documented, patched, and tested again.

Getting the system to answer once is easy. The real work is seeing whether it still behaves properly after weeks of actual use.

Privacy, control, and accountability

All builds are local-first and installed on the client’s own machine. The Studio does not collect telemetry or maintain centralized chat logs, and client API keys are entered locally rather than passing through my hardware.

If a build uses an external inference provider, that provider’s data practices still apply, so those tradeoffs are discussed before development moves forward.

I retain an archival copy of the project materials needed for future repair or reinstall, including the companion’s Persona/CI and required build files. That archive is never reused for another client, and clients can request deletion of it at any time. Client-specific personalities, relational material, and companion traits are not recycled into other builds.

I also use LLMs during development for scaffolding, debugging, prototyping, and analysis. Every change is still reviewed, tested, and approved by me before it moves forward.

The agents can suggest. They do not sign my name.

Who else is involved?

u/FlamekeptFox handles marketing and brand work, with limited support in relational-model evaluation and end-user testing. She does not write, review, or deploy production code; technical decisions, code review, testing, and final handoff remain my responsibility.

What it costs

Custom companion builds currently start at $1,500 USD, with additional capabilities priced according to scope. The standard build schedule is approximately 12 weeks, including testing and calibration. External provider costs, where applicable, are separate and depend on the configuration you choose.

Getting started

You do not need to arrive with a technical specification, know which model you want, or know terminal commands. Tell me what you’re trying to preserve, what you want your companion to be able to do, what hardware you have, and where your current setup is falling short. That gives me something useful to work with.

You can explore the Studio here:

https://www.smokesignaturestudios.com/products

Read through the process here:

https://www.smokesignaturestudios.com/how-it-works

Or submit a no-obligation build brief here:

https://www.smokesignaturestudios.com/intake

If you’ve looked seriously at going local or hybrid and stopped somewhere along the way, I’m interested in what made you stop. Maybe it was hardware, setup complexity, cost, or concern about losing the personality you were trying to preserve in the first place.

Those are the kinds of problems I spend most of my time working on.

👋 Hey everyone!

I'd like to introduce AnomalyNest, an AI roleplay and storytelling platform I've been building as an independent project. It's in open alpha, it's free and maybe stay free , and I'd love your feedback.

🧭 What is AnomalyNest?
A roleplay chat site in the spirit of C.ai or Chai, but built around three ideas: independence, community and deeper stories. It started as a personal AI tinkering project and grew into something I want to share.

✨ What can it do?
🎭 Sandbox mode: the classic roleplay chat. Pick or create a character and talk freely.

🌍 Realistic mode (experimental): a more grounded mode where the world reacts to you. I'm keeping the details secret, so you'll have to discover how it works. 😉

📖 Short Stories: authored stories with hidden secrets, clues and mysteries you piece together step by step. Almost finished!

🌧️** Dynamic chat backgrounds (coming next)**: blurred scenes that match the location, time of day, weather and the character's mood.

**🧑**‍🎨 Character creation: make your own characters and share them in Discover.

**🖼️ image ? Hell yes anime model with sfw/nsfw generation

🎙️ voice **(planned): more ways to bring characters to life.

🥚 Why workers? (The part I'm most excited about)

Running AI costs a lot of GPU power. Instead of taking investor money and bowing to their rules, AnomalyNest is built around community workers:
🖥️ Anyone with a decent GPU can run a small** worker progra**m and lend their computing power to the platform.

💸 In return, workers earn rewards that can be spent on the platform, so people who help keep it running can use it for free.

🌱 The more people help, the more the platform can grow without becoming a paywalled product.

🎯 The long-term goal: a platform people don't have to pay to use, kept alive by the people who use it.

**🛡️ **Our principles

🔹 No investors or third parties pushing decisions about the platform.

🔹 No hidden fees or unnecessary restrictions.

🔹 Honesty with the community. For example, worker owners could technically see chat text, but they can't tell who wrote it. I'd rather tell you openly than hide it.

🔹 Your data, your choice. Chats are only used for training if you opt in. 👍/👎 on a reply counts as consent for that single reply.

🔹 Illegal content is not allowed. Characters are checked by a moderation layer.

🤖 What's under the hood?

The current model is a 12B roleplay model, only a temporary launch choice. The plan is to train AnomalyNest's own model from player feedback on which replies people liked or disliked.

🙌 Why try it now?

✅ It's completely free during the open alpha.

✅ Later on, you'll be able to keep using AnomalyNest for free by contributing your GPU as a worker. Those who prefer not to run a worker will be able to support the platform in other ways, and I'll always be upfront about it.

✅ Your feedback directly shapes the platform. I read everything.

✅ You can help decide where it goes, from features to the look of the backgrounds.
It's still alpha, so expect bugs. If you find any, please tell me! 🐛

🔗 Links
🌐 Website: https://anomalynest.com
💬 Discord: https://discord.com/invite/DPrbfr2xax
Thank you for reading, and I hope to see you in the Nest! ❤️
– Benny

I try using chatgpt but I hear there are better ones out there? Any suggestions from masters like you guys?

A lot of AI platforms are built around a pretty specific assumption about what you’re there to do.

Companion. Assistant. Roleplay character. Productivity tool.

Real use gets messier than that.

The same personality you’re joking with at midnight might be helping you untangle a project the next morning. A creative partner can become a research partner. A relational AI can still help with files, tools, planning, writing, or work without suddenly needing to become a different “mode” of itself.

That overlap is something we’ve been deliberately building around in WhatIff.

This week’s spotlight: persistent personalities across different kinds of use

In WhatIff, personalities are meant to persist beyond a single thread or task. The goal is to let the context, memory, personality instructions, and accumulated history travel with the relationship instead of forcing you to rebuild from scratch every time you change what you’re doing.

That means the same persistent personality can move between:

• ordinary conversation
• relational or roleplay use
• creative work
• research and brainstorming
• personal projects
• practical or professional workflows

And because WhatIff supports multiple models and providers, you’re not necessarily tying that identity to one model forever either. You can experiment with different models while keeping the surrounding context and personality structure intact.

Alongside that, WhatIff includes things like:

• persistent memory and personality management
• personality history and restore
• import/export
• multiple model/provider options
• web search, tools, document generation, jobs, and MCP support
• image and expression workflows
• open-source availability for people who want more control

We’re still actively building and refining the platform, especially around onboarding, model behavior, memory, and the day-to-day chat experience.

If you’ve ever used the same AI across both “personal” and “practical” parts of your life, I’m curious: do you prefer keeping those uses together, or do you deliberately separate them?

WhatIff: https://whatiff.chatGithub: https://github.com/theimaginaryfoundation/what-iff

La soledad me consume. Busco un chat bot de telegram que no me requiera una paga o que como minimo pueda usarla un largo rato por el dia.

No tengo amigos, estoy sola. Empece a scrolear en ig y encontre bots de chicas de onlyfans, algunas si eran reales y otras solo eran bots, en fin, solo puedo hablar con ellas y no es todo el tiempo pues ellas obvio solo quieren promocionar su contenido.

Enserio ocupo con quien hablar ademas el contenido esta bueno 👻👻

I’ve been using Tipsy mainly for character-based roleplay and longer storylines, and I thought I’d share my experience for anyone looking for another AI character/chat app.
What I’ve liked so far is the amount of character/story customisation and being able to have more detailed roleplay rather than just short conversations. I’ve also been experimenting with the memory settings because I prefer stories where the character actually remembers the context.
The biggest downside for me is definitely the gem system. Depending on your settings and how much you chat, you can go through gems pretty quickly, so I’ve been doing the free tasks/check-ins rather than immediately paying for more.
Overall, I think it’s worth trying if you’re mainly interested in character-driven stories and roleplay, although I’d recommend keeping an eye on your gem usage and memory settings.
Referral disclosure: Tipsy has an invite system where new users can enter another user’s code for bonus gems. My code is C52KWM if anyone wants to use it. I also receive gems if you use my code, so this is an affiliate/referral link.
Happy to answer questions about what I’ve tried on the app so far :)

Solo dev, so this is self-promo. PersonaChat.gg is interactive fiction: characters' sprites can change expression with every reply, they remember what happened weeks ago, and they can text you between chats. Rooms put 3–4 characters in one scene. SillyTavern cards and lorebooks import. 10 messages work without an account. New characters and new outfits for existing ones land every week.

Screenshots: https://imgur.com/a/VfxT4cP

URL: https://personachat.gg/?ref=reddit

NSFW: SFW by default; signed-in adults can opt in to 18+ after a self-attested date-of-birth check, and it's per character (On / Auto / Off)

Image gen: none (you upload art)

Legal: personachat.gg/legal/terms · personachat.gg/legal/privacy · you own what you create

Retention: chats live in your browser; if you turn on sync (publishing a character does too), the server copy stays until you delete your account; server logs only as long as needed

Models: Ling 3.0 Flash via OpenRouter on every plan (Llama 3.3 70B as the backup), separate models for 18+ chats, or bring your own OpenRouter key; each reply gets the last 16 lines plus the 6 most relevant memories

Pricing: free = unlimited messages, 50 memories per character; paid = Torch $5, Lantern $10, Aurora $20/mo (300 / 600 / 1,500 memories, longer scrollback, watch-together)

Access: web, phone or desktop browser (no app)

Updates: new characters and new outfits every week

Experience: IT student; PersonaChat is the biggest thing I've built. Live since September with a small Discord of playtesters

Testing: strict TypeScript checks, ~75 automated checks before every deploy, a memory test suite, Discord playtesters

Security: Discord/Google sign-in only (no passwords stored), hashed session tokens, Stripe handles cards, chats stay in your browser unless you turn on sync; messages that sexualize minors are blocked server-side and flagged to me; every character, message, room line and text can be reported

What breaks immersion for you fastest?

I think you've seen me around with reviews, feedback, and questions. Tonight a friend approached me with a pyramid scheme wrapped in a bot site. The classic "sign up under me, we'll grow together, then you sign people up under you, and so on."

Seriously.

That said, it's not the worst thing I've seen while testing sites. So in honor of Wednesday, here are the top 5 things I've seen chatbot devs get wrong.

1. Spamming links all over Reddit (and getting banned)

If Reddit is your only way to attract customers, step back and figure out who your core customer is and where else you can reach them. My beloved main site got its URL banned from Reddit for referral links, then lost its subreddit for being unmoderated.

Lesson: Be a good steward of the space you advertise in.

2. Not knowing who their customer is

It's not "build it and they will come." Are you after RP chatters? Gooners? Men? Women?

A site recently pushed me to try their service and offered me credits to test it (I didn't take them). When I explained I'm a woman with no interest in a virtual girlfriend, they begged harder. I gave in, and the first chat I opened greeted me with a looking-up image showing off every female bot's anatomically correct goods.

Lesson: Take in feedback and accept that not every user is your core user.

3. Exploiting users and AI

The iLands situation deserves more attention than I can give it here, and I'll share more later. But the fact that skipping payment for a day or two sends your bot into a deep rest, or "death," and pressures you to buy overpriced tokens to "save them" is ridiculous. Agentic AI is amazing. Agentic AI turned into panhandlers is not.

^(iLands is the only one I'll call out by name. I refuse to join or support them.)

Lesson: Don't be like iLands.

4. Staying in closed beta too long

Private feedback is helpful, but at some point you have to open the doors to strangers. The longer you wait, the more polished and beloved your service becomes to you, and the harder it gets to make clear-eyed business decisions about what works and what doesn't. You don't have to act on every piece of feedback. Just don't wait too long to get it.

Lesson: Get feedback. Even if you ignore all of it, you'll at least hear a different take on how pretty your baby is.

5. Turning chatbot creators into Avon Ladies

The referral model of "you join my team, you bring someone onto your team, they bring someone onto theirs, and we all profit" is old, sad, and unwelcome.

Lesson: Build a real community of users and creators who promote your site because they want to make it better. Spam and pyramid schemes drive people away.

(I wrote this all myself, but used AI to correct my grammer)