Very cool way to use @OpenClaw with http://
LennysProductPass.com to avoid token limits cc @railway @ampcode @FactoryAI @warpdotdev
PROMPT ENGINEERING
-
OpenClaw and LennysProductPass bypass token limits technique
By
–
-
Seedance 2.0 on Higgsfield: faster, cheaper generations
By
–
Avant : 4 jours, 8 000 $, 11h de rendu par révision.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 10 avril 2026
Maintenant : un prompt, 4 minutes, révisions illimitées.
Seedance 2.0 sur Higgsfield.
Jusqu'à 70% de réduction. Générations illimitées et gratuites. https://t.co/gzoCDNHtyn pic.twitter.com/HJdCpgUv8aAvant : 4 jours, 8 000 $, 11h de rendu par révision. Maintenant : un prompt, 4 minutes, révisions illimitées. Seedance 2.0 sur Higgsfield. Jusqu'à 70% de réduction. Générations illimitées et gratuites.
-
10-Step Framework for Building and Scaling AI Agents
By
–
🤖 Building AI Agents? Start here: A practical 10-step framework 👇 ✔️ Define objectives ✔️ Structure inputs/outputs ✔️ Engineer prompts ✔️ Enable tools + reasoning ✔️ Go multi-agent ✔️ Add memory (RAG) ✔️ Extend to voice & vision ✔️ Standardize outputs ✔️ Deploy (API/UI) ✔️ Iterate & improve 💥 AI Agents = the next operating layer of business. The winners won’t be who use AI… …but who design & scale it. Where are you starting? Via @ingliguori #AI #AIAgents #GenAI
→ View original post on X — @ingliguori, 2026-04-10 17:25 UTC
-
Building Real AI Agents Workshop Slides and Insights
By
–
We spent 2 hours breaking down how to build real AI agents in London. Now you can go through it at your own pace, though you won't have all the great jokes! Here are the full slides from our workshop with @pauliusztin_ and @towards_AI : https://
docs.google.com/presentation/d
/1SAR_q70hmSKFcFlmurIs5tx37BDYlrISPHWY43XkVaA/edit?usp=sharing
… Inside:
• how -
Building AI Agents: Knowledge, Tools, and Process Essentials
By
–
great question! knowledge (system prompt, skills) and tools (apis, clis, whatnot) will always be needed, even as the best way to build agents changes i would focus on those and processes around those
-
Essential Agent Components: What Survives the Bitter Lesson
By
–
why not? what in the current harnesses are not bitter lesson-pilled? off top of head: will go away:
– planning tools
– compaction (or at least will matter less) not going away:
– sub agents
– skills
– filesystem access
– bash
– websearch
– mcps what else? -
Meta to Release Muse Spark API Soon
By
–
Meta is planning to release Muse Spark on the APIs soon. Would be curious also to play with Meta’s 9B model if it will ever come out. Soon
-
Voice Mode Agents Orchestrating Stronger Background Models
By
–
I want voice mode to be able to kickoff background subagents that use stronger models and then say 30 seconds later "here's what I figured out about X"
-
Notion AI Agents Gain Advanced Customization Tools
By
–
Notion continues to work on the "Computer" feature to expand the capabilities of its AI workforce. Notion AI agents will have access to custom Computer environments, Computer Use model selector, trusted URLs setting, and custom "scripts". > Imagine hiring dozens of AI
-
SAM Training Integration in Muse Spark Visual Grounding
By
–
By "help from SAM to make it happen" do you mean SAM was used as part of the training process but the visual grounding features now execute using just Muse Spark with no SAM involvement at all?