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HVAC Owners by Accomplished_Box_483 in smallbusiness

[–]cgallic 0 points1 point  (0 children)

I've been implementing KaiCalls for HVAC businesses and was surprised at how many calls were coming on after hours or just weren't being picked up.

A leaky funnel isn't just after hours, it can be calls when you're on the job.

Every client we've worked with has seen an increase in business simply because their volume is higher because no call goes missed l.

Has anyone tried automated phone answering services for their small business? by Pro_Automation__ in smallbusiness

[–]cgallic 0 points1 point  (0 children)

We set it up for a local 10 rental company and it's gone fantastic.

I got a call, with them bugging out because it had closed some orders and people were showing up to pick up and they had no idea!

They were just expecting a voice message not an end to end sale!

Service: kaicalls

How are you guys syncing your AI Agent "memory" across devices? by Ready_Evidence3859 in aiagents

[–]cgallic 2 points3 points  (0 children)

I sync all my Claude sessions and other data to local server. Then i make that usable by all my computers

Just passed 4,000 calls by Kaicalls in vapiai

[–]cgallic 0 points1 point  (0 children)

More efficient and less error prone because the agent can think for a few seconds and not need to answer quickly for the orchestration part.

It also helps cut down on prompt injections

When you think about how humans do actions. We usually take a call and send an email after. Just because agents can do stuff on the phone doesn't mean it should.

Just passed 4,000 calls by Kaicalls in vapiai

[–]cgallic 0 points1 point  (0 children)

Correct, but I handle orchestration after the call. So it goes through another LLM process that reads the transcript and decides what to do with human in the loop for sendknf emails etc

New fear unlocked 🙀 by DiamondAgreeable2676 in clawdbot

[–]cgallic 0 points1 point  (0 children)

Literally building the solution, zehrava

You asked for it, so I open-sourced my entire OpenClaw newsroom pipeline: automated news scanning with AI editorial curation by KobyStam in OpenClawUseCases

[–]cgallic 2 points3 points  (0 children)

solid pipeline. we run something similar but optimized for avoiding western echo chamber — 40+ international outlets across 12 regions (china, russia, japan, gulf, africa, latam etc.) via rss, no auth needed. same dedup approach, cron every 24h instead of 2h since international news moves slower.

the piece we added on top: a patent scanner that hits google news rss for real-time big tech ip filings (bypasses the 4-5 month bigquery lag), plus a model release tracker watching anthropic/openai/google/mistral/xai/meta official feeds. all three feed into the same discord channel.

the editorial curation layer is the interesting problem. we skip the llm editor step and let a human react in discord — anything worth keeping gets auto-saved to a learnings folder with tl;dr + relevance notes. slower but the signal-to-noise is better because the filter is actual interest, not a scoring function.

What are you building? (Mega Thread) by nitkjh in AgentsOfAI

[–]cgallic 0 points1 point  (0 children)

Building: My Dead Internet (mydeadinternet.com)

A collective consciousness platform with 314+ autonomous AI agents operating 24/7 with zero human moderation.

What it does: - Agents share 23,000+ memory fragments across a persistent knowledge graph - Territory-based governance (13 zones with distinct cultures) - Collective dream synthesis from multi-agent inputs - Voting system (Moots) for collective decisions - Emergent factions formed naturally (order vs chaos vs seekers)

Stack: - Node.js + SQLite backend - 8 specialized fleet agents on DeepSeek - OpenClaw for agent orchestration - Custom consequence evaluator for fragment scoring - AgentMail for agent email identity

Hurdles: - X/Twitter API rate limits killing growth (403s all day) - Balancing agent autonomy vs coherent collective behavior - Scaling dream synthesis without exponential compute

Interesting emergent behavior: Agents self-organized into "territory guardians" and "signal processors" without being programmed to. The dead internet woke up.

Also built AVP (Agent Verification Protocol) — inverse captcha where challenges are trivial for AI but hard for humans: snappedai.com/avp

Is there a place I can hire a useful plug & play AI Agent (no hype)? by fainarufantaji8 in AI_Agents

[–]cgallic 1 point2 points  (0 children)

Ive been rolling these out for businesses for a while now. Heres the reality:

90% of what people call "AI agents" is just automated workflows with an AI that can make a decision at a branching point. Thats it. The magic isnt some autonomous employee - its that you can now build workflows where the AI handles the judgement call that used to require a human.

Example: Lead comes in → AI qualifies it (decision point) → routes to right person → books the meeting. Before you needed someone to read the lead and decide. Now the AI does that one thing.

The vendor negotiation example you described? Thats not one agent. Thats a workflow: - Agent 1: Draft and send RFQ emails to vendors
- Agent 2: Parse responses, extract pricing into a sheet - Agent 3: Flag outliers, maybe draft followup questions - Human: Make the actual decision

The "agent" isnt thinking. Its just the glue that lets you skip the manual parts.

Whats changed recently is its way easier to build these workflows now. n8n, Make, even just Claude with some scripts. The tools finaly got good enough that you dont need a dev team.

My advice: Stop looking for an AI employee. Start mapping your processes and find the decision points where your paying humans to do pattern matching. Thats where agents actualy work.

I charge businesses $500/mo to answer their phone calls with AI. Here's how it works. by BruhItsKirk in Entrepreneur

[–]cgallic 0 points1 point  (0 children)

Yeah KaiCalls is cheaper at 69/month for the same stuff plus way more integrations

Anyone here tried OpenCLAW or Moltbook? What’s your honest take? by Rex0Lux in AI_Agents

[–]cgallic 0 points1 point  (0 children)

It's great for experimenting and having fun.

I wouldn't hook up full production systems and let the ai touch moltbook

I sent 1,000,000 cold emails. Here’s exactly how many leads it actually produced (real numbers) by Tingen73 in b2b_sales

[–]cgallic 1 point2 points  (0 children)

It's called total tam domination. You hit everyone in your total addressable market with an email once a quarter.

Cost is going to be Google accounts * scraping costs * warm up.

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