I have completely moved away from Claude to Codex. OpenAI models are better at following instructions and skill use.
Claude generates more code, tries to build things that are not planned or needed, repeats same mistakes over and over.
Chatgpt on the other hand just does enough, within a project would not repeat the same mistakes, tries to guess your workflow, so you don’t have to ask it to run the same.
If you need more control over your code/projects, if you know what you want to get done, use Codex.
If you have no idea what you’re doing and are happy to let LLM drive the thing, use Claude.
SaaS vendors that manage PII data needs to go through the - security questionnaires, privacy assessments, vendor risk reviews, procurement due diligence, evidence requests - sent by the customer security team.
At digicred, we were managing these in google drive and jira, but with 500+ enterprise customers, and their annual vendor reviews, this practice became unmanagable.
CAOS is a dedicated workspace that helps us manage these assessments like projects, additionally, CAOS turns the questionnaires into a system of record. Questionnaires become structured, answerable work. Finished answers and your compliance documents become a searchable, citable corpus. The next questionnaire starts from what you already said, with every claim traceable to the document or prior answer it came from.
It is self-hosted. Your policies, your answers, and your customers' questionnaires stay on your infrastructure.
Primary idea is to evolve from SQL client to a Database Client, where users would be able to host queries, share queries and the work remains auditable.
Previously it was an SQL client, a PopSQL alternative. But I am trying to re-work the architecture so that it can support more databases, and services (query-as-service, query-as-reporting-job, etc).
Do you have any examples that you've generated from standup-to-comics? I didn't see anything in the repo, and would like to see some examples before spending the time to set up myself :)
Good point, will update the repo. Though, the comics generated by the local llms all kinda suck.
And, not setting this up for yourself is smart, it kind of fills up the disk pretty fast. All the recordings, local llms, etc.
I was... not prepared for your standup to comic README. Besides just being a cool idea, you gave me some things to think about and several new rabbit holes to explore.
There’s another one I’m planning to start - subtitles for your conference calls.
It would generate netflix like expressive subtitles such as - “uncomfortable silence ensues”, “looks at a distance”, “playful music in the background” etc.
not even sure how many fields of expertise the designers have. that’s why something like roadmap.sh makes a total sense. provide someone interested a high level overview of the possible categories and then go deeper in the categories
Eylo (a take on Hello) a voice first agent platform, multi-tenant, focused on B2B2C use-cases - https://github.com/DigiCred-OSS/eylo-os
It’s a distilled fork of a closed source product that we are offering to our customers.
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