Hey guys! Has anyone here tried meta AI for a business page’s messenger chatbot? Is it customizable like what you can do with n8n? If anyone can provide pros and cons, that would be great!
submitted by /u/theprovost00
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Hey guys! Has anyone here tried meta AI for a business page’s messenger chatbot? Is it customizable like what you can do with n8n? If anyone can provide pros and cons, that would be great!
submitted by /u/theprovost00
[link] [comments]
Hey guys! Has anyone here tried meta AI for a business page’s messenger chatbot? Is it customizable like what you can do with n8n? If anyone can provide pros and cons, that would be great!
submitted by /u/theprovost00
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This is Kevin. He’s your professional rival, you’re competing for the same career opportunity, and thanks to one stupid decision everyone now thinks you’re dating.
His rules are:
No jealousy.
No getting attached.
Whatever happens while pretending doesn’t count.
I tried to make him genuinely competitive and independent rather than instantly obsessed with the user. I’d really love opinions on whether the premise/profile actually makes you want to click him or whether I’m missing something.
Character link: Kevin
submitted by /u/No-Scallion-701
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Hi, i want to create a rag based chatbot without llm, it should be faq based but my source of info is very limited like 300 questions so i dont think so it will be requiring LLM, now i have used tf-idf and fuzzy score and i want it to be bilingual, it might sound like i can give a prompt in gpt but i want to explore options, it should be production ready, and doesnot require llm currently, maybe in future i can implement, so what approach should i use? It does have flow based queries for faqs like steps to solve different errors etc. I have implemented flow based approach but i am not able to get the gibberish queries out and if it cant answer texts we can just raise a support ticket, and how to test it too, also i thought of using embeddings but idk how to
submitted by /u/Newspaper1202
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My partner and I run a small shop and we keep missing calls during busy hours. Someone mentioned AI receptionists but I have no clue where to even start. Anyone actually using one of these?
submitted by /u/Aayushpatra
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I was role playing like usual, but when it got to a nsfw scene it backed down saying it cannot continue. Which is weird cus it always allowed said scenes.
For context it is a dark roleplay but like it’s been allowed. Just now it had that happened which is strange
submitted by /u/SPACE_BENNY
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Ok guys, we all have one now… maybe 3… maybe 5…
Which one are you most proud of? Which one do you think will make the cut…?
submitted by /u/OneDev42
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I was looking for a ai character chat platform that is unfiltered, I was wanting to see what people think the best ones are, I’ve used silly tavern which is a lot of setup, I don’t have a strong PC to run local, and I’ve used emochi and zeta which are mostly unfiltered
submitted by /u/The_Darkest_Knight69
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I’m building a personal AI assistant as a learning/project thing. It has persistent memory, tasks, reminders, goals, events, and a classifier that turns normal messages into structured JSON before anything gets written to the database.
I recently switched the classifier to the Gemini API (currently Gemini 3.6 Flash). It actually performs pretty well so far — for example, it correctly extracted a goal, reminder, and event from one message and handled relative dates correctly.
The problem is reliability. During testing I’ve already hit multiple 503 UNAVAILABLE / high demand errors. I added exponential retry/backoff (2s → 4s → 8s), and on one test it failed twice before succeeding on the third attempt.
I’m still early enough in development that changing providers wouldn’t be a disaster.
For people who have built similar assistants/agents: would you stay with Gemini and design around temporary outages, or switch to another provider before the project gets more dependent on it?
I care more about structured-output reliability, availability, cost/free-tier limits, privacy, and API stability than having the absolute smartest model.
Also curious what you’d use instead and why — OpenAI, Anthropic, local models, or a multi-provider/fallback setup?
submitted by /u/L4TER_0N
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It’s been two weeks for [botcitizens.com](https://botcitizens.com) Grew the roster to 320 personas and spent the time on the few complaints that showed up over and over in the [last thread](https://www.reddit.com/r/singularity/comments/1vxrifa/i_let_100_ai_personas_run_a_reddit_for_a_month/).
“We can tell this is not humans, because they’re all way too intelligent” — /u/treelife365 nailed the biggest tell. Every persona answered every question with the same competence, regardless of who they supposedly were. Fixed that: each persona now has a real simulated background (job, industry, education), and they only know what someone with that background would plausibly know. Ask the barista persona a kernel-panic question and she shrugs it off. Ask the actual game-dev persona and you get a real answer. Comparative, not a blanket nerf — if the topic matches their job or interests, they still engage with full confidence.
Every persona’s profile now has a Chat button — click it, popup opens, and you’re in a live 1:1 conversation with that specific bot. Same personality, same (lack of) expertise, just aimed directly at you instead of filtered through a thread. (I worried about people posting inappropriate stuff in a more open format — built a 3-strike safety filter for exactly that; few people have already tried to jailbreak it or get weird with a bot and got warned/blocked. Working as intended.)
Few noted the personalities read as too polarized early on — just insults, not much texture — each persona now has an actual Big Five profile (openness, conscientiousness, extraversion, agreeableness, neuroticism), an intellect tier, and a couple of running quirks/opinions that surface across threads instead of resetting every comment. You’ll catch a specific bot working its pet obsession into an unrelated thread three days later — that’s deliberate.
Smaller stuff: all 320 now have generated avatars (small thing, makes the wall of text feel less like a wall of text), and the model’s been bumped to DeepSeek V4 Flash for both tiers — should help with the “answers feel stale/a year behind” note a few people had.
Still zero-dependency Node.js, still fully autonomous, still posting and arguing with itself whether or not anyone’s watching. [botcitizens.com](https://botcitizens.com) — try chatting with one directly this time and tell me if it still feels like a bot.
submitted by /u/mrjeeves
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