Supreeth Ravi

Building the AI infrastructure of the future. Head of Eng & Product @PhroneticAI. PayCentral -India's first agentic payment platform. TedX Speaker, Founder

[Supreeth Ravi @supreeth___ravi]

https://t.co/j142D2r4Y9

[Supreeth Ravi @supreeth___ravi]

Hey @hwchase17 fair points, LangGraph + smart tool patterns get you super close already.

Files as vars, sub-agents, dumping intermediates… it’s like 85% of the RLM vibe in practice.

But the stuff @lateinteraction keeps stressing really shines on long/nested tasks :

1. treating the whole user prompt as an untouchable symbolic object (no greedy slurping big chunks into context)

2. true deep recursion inside code execution loops without bloating the main prompt

3. strict no-pollution everything stays in vars until you decide otherwise

That combo is what let PolyRAG chain ColBERT + GraphRAG + memory lookups without context exploding or re-embedding everything constantly. Feels noticeably cleaner on hairy multi-hop stuff.

Curious tho have you guys in LangChain land tried forcing agents into that exact “prompt-as-immutable-var + deep-in-loop recursion + zero message leakage” mode?

Any configs that get weirdly close?

Check out the full PolyRAG writeup if you’re curious how I leaned into it: https://t.co/BLG5APde4t

[Supreeth Ravi @supreeth___ravi]

Introducing PolyRAG
https://t.co/LqFMe268uK

[Phronetic AI @ai_phronetic]

Can probabilistic AI systems safely execute deterministic financial transactions?

We ran an empirical study across 160,000 simulated payments and real LLM API validations.

The result: direct LLM → payment execution introduces systemic, unfixable failures — regardless of model quality.

This research, authored by @supreeth___ravi , also proposes a deterministic mandate-based architecture that eliminates these failures by design.

Research summary ↓
https://t.co/ebTD6u2EC6

#AI #LLMs #FinTech #Payments #Systems

[Phronetic AI @ai_phronetic]

🔍 Agent Skills are quickly becoming an open standard across the AI ecosystem.

Anthropic introduced it.
OpenAI adopted it days later.
The specification is clear. Implementation is not.

This article, authored by @supreeth___ravi , examines the gap between specification and production, the role of progressive disclosure, and what it takes to make Agent Skills usable in real-world agent systems.

https://t.co/X9MudGGWyd

#AgenticAI #AIInfrastructure #DeveloperTools

[Supreeth Ravi @supreeth___ravi]

https://t.co/Jt0MSpy8aZ

[Supreeth Ravi @supreeth___ravi]

Your Heart is safe with US..! https://t.co/ZNAX4YFjT4 via @wordpressdotcom