Un aperçu du paysage dynamique de nos dernières perspectives et tendances
AI agents for deliverability, security, and coding—plus more local-first multimodal models, on-device transcription, and tools that manage data workflows.
AI “operators” for GTM and work, agent tooling with safer workflows (branching/observability/edit review), plus more privacy-first/local desktop/mobile apps.
AI agents keep spreading—from fundraising and Slack outreach to video/data intelligence and “living” context layers—plus more privacy-first tools.
AI assistants are moving from chat to action (meetings, social, coding), while more products ship local/offline or API-backed “grounded” answers.
Local-first search for your media, AI “memory” for agents/tools, and offline or programmable workflows stood out, with health + creator tools also trending.
AI build tools and desktop/agent workflows lead, alongside privacy-first analytics, and practical ops for coding costs, outreach, and demos.
AI agents for sales, marketing, and coding are trending—plus tooling for monitoring web/LLM usage, and faster creative video ad generation.
Agents that run work with approvals and memory; AI for dev, ads, and trading; plus practical tooling (docs, video, merch, time) for daily ops.
AI builders focus on practical infrastructure: Postgres/RAG + agents, better tool access, and cost-aware routing—plus local, privacy-first browser/search apps.
AI is moving into practical workflows: email/outbound automation, spec-to-code tools, and offline/local-first apps—plus lower-latency speech/vision models.
AI context, coding, and business analysis keep leading, alongside practical tooling: plain-English dashboards, research with citations, and local/offline generators.
UI design and video creation are getting AI co-pilots, while local LLM tools + practical model/agent infrastructure push reliability and cost control.
Local-first privacy and productivity, plus AI agents that plug into tools (CLI, MCP, chat memory) and cut busywork from dev to outreach.
AI moves from copilots to operations: autonomous testing, interview-to-PRD workflows, and agent infrastructure (encrypted keys, notification APIs).
AI agents are moving from copilots to full workflows: one-person company ops, self-updating docs, and safer app builders. Also: warm intros and AI-driven demo/content tools.
AI agents move into real workflows: smarter sales + deliverability, safer coding with versioning/permissions, and local-first memory for teams.
AI agents go real-world (calls, iMessage, terminals) while teams push automation for testing, PR review, and reliable content + analytics without extra scripts/cookies.
Agentic AI for orchestration + monitoring, plus “AI on top of existing workflows” (ads, search, agents, notes) and more visual/mobile tools.
L'IA rend les outils multimédias et agents plus autonomes (vidéo, trading, aide écran), tandis que des outils pratiques ciblent l'UX : stockage, abonnements et sécurité voyage.
Agents IA pour la vidéo et le codage, mémoire et contexte améliorés pour les modèles, ainsi que des outils pratiques pour les développeurs et le travail : partage d’écrans et prompts économes en tokens.
