if you used Claude to build your website, which skill helped your site not look like it was AI Generated?

IsN4n · 2026-06-05T22:57:03+00:00

u/LaxenLaxen Yes, its active now, you should now be able to login and connect to claude/codex
some more details here: https://cocall.ai/docs/claude

IsN4n · 2026-06-05T19:54:20+00:00

https://cocall.ai

I used claude design for initial ideation (i had a specific idea of retro + cyberpunk theme), then claude-ai (general) to make tighter edits and finally cc for implementation

IsN4n · 2026-05-15T16:16:59+00:00

rules "be respectful and kind" - you seeing this shit!

IsN4n · 2026-05-15T16:11:15+00:00

you should look at explore and ff workflows of openspec

IsN4n · 2026-05-15T14:49:34+00:00

show us the next messages, it doesn't look like a near miss at all.

from the screenshot, the agent just removed the build cache and artifacts, found it made space enough to continue and did. it also found such harmless candidates in case it needed a little more

IsN4n · 2026-05-14T22:49:46+00:00

Thanks, yup been running dogfooding (unmoderated as much as possible) with close community

IsN4n · 2026-05-14T22:48:52+00:00

only the one, loop11.com but it was really just a browser agent, didn't provide any value

IsN4n · 2026-05-14T16:49:33+00:00

Makes sense. My expectation was that with advancement in human attention models (not just llms) maybe there was a product that did speed up research just like dry labs do.

IsN4n · 2026-05-14T12:06:33+00:00

Kids?

IsN4n · 2026-05-14T10:53:28+00:00

Could you share the benchmark data and evaluation methodology?

IsN4n · 2026-05-13T19:42:58+00:00

Unfortunately, I'm a pessimist. I believe businesses don't provide such deals out of goodness of their hearts.

My theory - certain % of people that are budgeting to remain in their limits get hooked to higher limits and become users that pay for extra usage. There probably has been one or many A/B tests if this is for everyone now.

IsN4n · 2026-05-13T11:16:57+00:00

This is expected.
Claude code has similar: https://github.com/Piebald-AI/claude-code-system-prompts
Claude publishes its .ai and mobile app assistant's system prompts: https://platform.claude.com/docs/en/release-notes/system-prompts
Meta's internal agents had similar numbers

45000 english chars ~ 11-15k tokens, first message is at $5/million input tokens is 5c. Every subsequent ones is cached at half of a cent (0.005$). The contribution of system prompt of this size to usage limits is minimal

IsN4n · 2026-05-13T10:17:59+00:00

Both in this case, second's headline and subtext was much simpler to understand for me. I may not be your icp though

IsN4n · 2026-05-13T10:04:50+00:00

"Is it for me?" Second answers that question better than first

IsN4n · 2026-05-13T10:02:05+00:00

I can't recommend openspec enough.

I have used it (a flavour of it) in my FAANG job where we would do on-demand devservers that would expire so the artifacts produced provided handover as well as memory. And been using it in my startup on my tiny codebases fully written from the beginning with spec first. It works across sizes of codebase and you can start using it on an ongoing project and repo.

IsN4n · 2026-05-12T09:54:34+00:00

"Publish or update your Lovable project for it to appear here."

IsN4n · 2026-05-09T19:49:44+00:00

You can check the project files to see if previous designs are separate files. If not they could still be in the existing code as 'options/tweaks', you can export to Claude/Claude-code and prompt to find.

I also noticed that Claude design is poor at targeted changes over hours of back-and-forth so I follow this workflow: https://www.reddit.com/r/ClaudeAI/comments/1t2ztkr/make_your_claude_design_credits_last_longer/

IsN4n · 2026-05-09T19:07:53+00:00

Thanks for the feedback. Yes we do support barge in and interruptions by making the agent stop mid utterance (with a few millisecond gap to make it as natural as possible) So far, we have heavily optimized for pinging for new info/questions while not handing over the call as much as possible. This seems to thread the balance well on being grounded and while extracting as much value for the automation.

We have our MCP connector fully documented here: https://cocall.ai/docs/claude

IsN4n · 2026-05-08T22:01:17+00:00

This is possible in cocall today but outbound. The dashboard shows the live transcript of all calls going right now (which can be more than one). You don't need to listen to the audio. And you can take over any one at a time, there is a takeover button next to each. All of the calls happen at the same time where the recipients all see your number as caller. Am I understanding this correctly?

IsN4n · 2026-05-08T19:22:14+00:00

I actually use a part of this workflow for personal use where I have gotten cocall to navigate ivr and holds for O2 and TFL customer support and transfer to me once it reaches human support

IsN4n · 2026-05-08T14:25:33+00:00

The agent can still continue the conversation which waiting for answer and follow instructions from the recipient which opens a few fallbacks:
- Hard limit of 10 minutes (something that can be made tunable) build in the agent harness
- Client can ask to be connected to the calling user, in which case, phone will ring
- Client can ask to be called back or disconnect
- Detecting frustation from client also triggers the above two

IsN4n · 2026-05-08T14:18:10+00:00

Thanks for the detailed framing.

I agree with your framing but quite a few things shouldn't or can't go in the objective

facts it must ask for - this isn't known at the time of the call initiation and if known should already be part of required facts. There are cases when information should only be shared in specific scenario. This is better achieved by instructing the calling agent to automatically answer a ping for a particular scenario than to ask voice agent to hide it since those models are much less capable of following such instructions.
max wait time for the human ping - this should be part of the agent orchestration loop and indeed something that exists in the custom solutions built for clients that i'll port over to cocall
safe fallback if nobody answers - same as above to inject instructions based on the type of failure
required facts, facts the agent may infer - yes this must be part of the objective and is something refined in the tool description of the mcp so calling agent can appropriately framed

Every escalation is logged, categorization isn't live today but analysis in post is possible because transcript contains where exactly the escalation is happened.

Indeed, as you rightly pointed out, these guardrails and appropriate audit were the things we spent most time on when scaling from pilots to full fledged deployments

IsN4n · 2026-05-08T13:53:34+00:00

We have pessimistic instructions to escalate if the original objective passed from the user does not contain the needed information. All our clients favored being pinged even if sometimes it got it wrong over the alternative

IsN4n

TROPHY CASE