safa

safa

Indiemaker, developer, and AI enthusiast

Forums

safa

10d ago

The 3 hardest technical problems I hit building an AI agent that calls real APIs

Not a launch post. Just things I wish someone had written down before I spent a month figuring them out.

1. LLMs send partial payloads on write operations

You ask the agent to update a record. It sends only the fields you mentioned in the prompt. The PUT request goes through, returns 200, and you've silently wiped every field you didn't specify.

The fix: before every write call, fetch the current resource state via the companion GET endpoint and deep-merge the LLM's payload on top. The LLM only needs to specify what's changing the executor fills in the rest.

Orqisaip/orqisaisafa

14d ago

What’s the biggest challenge you’ve faced using AI agents in production?

I ve been experimenting a lot with AI agents connected to APIs recently.

They re powerful, but I keep running into issues like:

  • lack of control over what gets executed

  • difficulty handling auth safely

  • limited visibility into what actually happened

Curious for those building with agents, what s been the hardest part in real-world use?

safa

13d ago

Orqisai - Turn any API into an AI agent. Safely.

Orqis turns your OpenAPI spec into a controllable, observable AI agent, no infrastructure required. Paste your spec, choose an LLM (OpenAI, Anthropic, Gemini, Mistral, Groq), and your agent is live. Endpoints become tools, sensitive actions require confirmation, and every call is fully traced. Built for real-world use: scoped auth, encrypted secrets, guardrails for destructive operations, and an API to embed agents into your own products. Free to start. No credit card required.
Tasos V

1yr ago

Pitch your product with max 5 words. Can you?

Vaizo - Maximize crypto gains with AI Whats yours? If you can do with less than 5 words, you have my respect lol :P