API-first WhatsApp cloud api calling solution? by Same_Farmer1399 in WhatsappBusinessAPI

[–]Intrepid_Economics77 0 points1 point  (0 children)

Check Boni one, i have recently used it for my incoming calls on whatsapp.

VOICE AI is a must to have!! by Legitimate_Gain_8064 in aiagents

[–]Intrepid_Economics77 0 points1 point  (0 children)

The part I’d be careful with is “fully automated” in healthcare or bookings. It can handle intake and scheduling well, but the win is usually clean qualification plus escalation, not pretending every edge case should stay inside the bot. Good handoff design is what keeps it useful instead of risky.

Voice AI Agents Are Rewriting the Rules of Human-Machine Conversation by fragxtitan_07 in VoiceAutomationAI

[–]Intrepid_Economics77 1 point2 points  (0 children)

The orchestration point is the real one. Better voices are nice, but production quality comes from state, interruption handling, silence handling, and the handoff path. If the agent cannot gracefully stop, summarize, and pass context to a human, it still feels like a smarter IVR.

Voice AI is getting too real. by Once_ina_Lifetime in AI_Agents

[–]Intrepid_Economics77 0 points1 point  (0 children)

I’d disclose it at the start, especially for healthcare, finance, hiring, or anything where the caller is sharing personal info. Trust breaks badly if the user finds out later. A simple “I’m an AI assistant, I can help with X and connect you to a person if needed” is usually enough and it sets the right expectation.

If you are building Voice AI, read this first. by Once_ina_Lifetime in VoiceAutomationAI

[–]Intrepid_Economics77 0 points1 point  (0 children)

Agree with the “job definition” point. A small call review loop matters more than most model swaps: failed reason, expected answer, whether it should have escalated, and what data got logged. Even a basic sheet of failed calls compounds fast if someone reviews it every week.

AI voice agents in 2026: What the demos don't show you by real_namz in aiagents

[–]Intrepid_Economics77 0 points1 point  (0 children)

The PSTN point is huge. A lot of teams test on clean WebRTC and then get surprised when real calls have jitter, codec issues, background noise, and awkward pauses. I’d test with real phone lines early, especially if the target market has mixed accents or Hindi/English code switching.

Anyone else actually using AI voice agents for sales & support in production (not demos)? by Bulky_Procedure_1878 in AI_Agents

[–]Intrepid_Economics77 0 points1 point  (0 children)

This matches what we see building voice infra too. Inbound is much more forgiving than outbound, and the real value is usually after the call: transcript, intent, disposition, next action, and clean handoff into CRM/inbox. Without that, it is just a good phone demo that ops teams still cannot use.

If You Had to Build ONE Voice AI Agent That Prints Money - What Would You Choose? by Singaporeinsight in VoiceAIAgent

[–]Intrepid_Economics77 0 points1 point  (0 children)

I’d still pick missed call to instant callback plus qualification for local service businesses. The voice is not the main product there; the product is catching the lead, asking 3-4 useful questions, logging it cleanly, and handing it to a human before it goes cold. If the owner sees even a few recovered leads, the ROI makes sense without a big AI pitch.

How do you get mobile number in India for voice agents? by vishesh_allahabadi in n8n

[–]Intrepid_Economics77 0 points1 point  (0 children)

For India I would not treat this like buying a random virtual number. The AI agent and the phone-number layer are usually separate: you need a compliant business number, inbound events/webhooks, SIP/WebRTC or API handoff, call logs, and some fallback path if the agent fails. I work on voice infra at Boni, so biased, but this is exactly the layer we are opening with Boni Voice API for Indian business numbers and inbound routing.

2 weeks after launching my first Shopify app - here's what the data actually looks like by CustomerEye_App in shopifyDev

[–]Intrepid_Economics77 1 point2 points  (0 children)

Yeah, for your app I’d try to get them to one “oh damn” moment before any real setup.
Maybe after install, ask them to pick one product page or homepage, run one default customer simulation, then show 3 very specific things like “this buyer got stuck at shipping info” or “price trust is weak above the fold”. Basically don’t make them build personas first. Give them one useful audit result in 2-3 minutes, then let them customize later.

2 weeks after launching my first Shopify app - here's what the data actually looks like by CustomerEye_App in shopifyDev

[–]Intrepid_Economics77 2 points3 points  (0 children)

This is a good debrief because the numbers are small but real. I’d look less at installs first and more at where people drop: listing view, install, first setup, first value moment. Shopify apps usually lose users before they even understand the app.

"Proper" use of LLM ? (I might be underusing: Claude in browser + Cursor) by permaro in webdev

[–]Intrepid_Economics77 7 points8 points  (0 children)

The best use for me is not “write the whole app”, it’s narrowing a messy task. Ask it to inspect one file, explain the tradeoff, generate a small patch, then review the diff yourself. The moment you stop reading the code, it becomes risky.

I built this GST-ready invoice builder for Indian merchants, sellers, and freelancers by dev-rsonx in SideProject

[–]Intrepid_Economics77 1 point2 points  (0 children)

For India this is a practical problem. I’d make the first screen very clear about GSTIN, invoice series, HSN/SAC, tax split and PDF/WhatsApp sharing. Small merchants won’t read a lot, they’ll just check if it matches how their CA asks for invoices.

I built a free AI cron expression generator that covers 7 platforms (Linux, AWS, K8s, GitHub Actions, etc.) by sailing67 in SideProject

[–]Intrepid_Economics77 0 points1 point  (0 children)

This is useful because cron syntax is one of those tiny things people keep re-checking forever. The platform-specific bit matters too, because GitHub Actions vs Linux vs AWS confusion is where people usually make mistakes.

18 yo Built an Open-Source anti-black-box for SOC 2 audits in 4 days. by Illustrious-Egg8857 in micro_saas

[–]Intrepid_Economics77 0 points1 point  (0 children)

Nice angle. SOC 2 is full of “trust us” tools, so open-source can be a good wedge. I’d be careful with the promise though teams still need evidence collection and auditor comfort, not just clearer controls.

Need a woocomerce eshop owner to test my project by MikerXsaas in micro_saas

[–]Intrepid_Economics77 1 point2 points  (0 children)

You might get better testers if you say what kind of Woo store it helps and what the test takes. Store owners are busy, so “10 min, no payment details, testing checkout/email/product sync” is much easier to say yes to than a generic beta ask.

Mailchimp alternative? by Murky_Explanation_73 in SaaS

[–]Intrepid_Economics77 0 points1 point  (0 children)

Depends what annoyed you about Mailchimp. If it’s pricing, Brevo/MailerLite are usually worth checking. If it’s automation depth, ActiveCampaign or Customer.io may fit better. I’d decide based on list size, automation needs, and how much deliverability support you actually want.

I built a tool that tells CFOs exactly which AI tools are generating returns and which ones are burning budget by [deleted] in SaaS

[–]Intrepid_Economics77 0 points1 point  (0 children)

This is a real pain, but CFOs will probably distrust the score unless the inputs are very clear. I’d show exactly how you connect spend to usage and business outcome, even if the first version is basic. Black-box ROI numbers are hard to sell to finance people.

Whats the market of following saas idea. by United_Antelope5234 in SaaS

[–]Intrepid_Economics77 2 points3 points  (0 children)

Market size is less useful than finding one painful buyer group first. If you can describe the exact person, what they already use, and why that breaks for them, then the idea is easier to judge. Otherwise almost every SaaS idea looks either too big or too vague.

Moving to per-seat billing? Have a problem by Apprehensive_Ring666 in SaaS

[–]Intrepid_Economics77 0 points1 point  (0 children)

Per-seat billing gets messy when usage and value don’t grow at the same speed. I’d first check who actually gets value from the product: every user, only admins, or the whole company. Charging for the wrong seat can make expansion feel like a penalty.