# 19 — Agentic Autonomous Thinking · Angle D: Commercial Landscape

> Project: Humanizing AI output and thinking
> Scope: Commercial products positioned around "autonomous agents" and "human-like reasoning."
> Compiled: 2026-04-19

**Research value: high** — The commercial corpus is dense, the vocabulary has largely converged, and the gap between marketing claims and delivered autonomy is the most revealing signal for a "humanizing AI" project.

---

## 1. Product Matrix (19 products)

Each entry uses the same fields: *Vendor · Product · Positioning · Autonomy claim · Human-likeness claim · Primary surface · Status / traction (2025–26) · Source*.

### 1.1 Devin — Cognition AI
- **Positioning:** "The first AI software engineer."
- **Autonomy claim:** "Devin can plan and execute complex engineering tasks requiring thousands of decisions… recall relevant context at every step, learn over time, and fix mistakes."
- **Human-likeness claim:** Framed as a *colleague* — "Cognition uses Devin to build Devin," merging 659 Devin-authored PRs in a single week.
- **Surface:** Own Linux shell + browser + editor; async worklog. Devin 2.2 (Feb 2026) added full Linux desktop computer-use — Figma, Photoshop, and other GUI-native software.
- **Status:** $2B valuation, >$150M ARR (incl. Windsurf IDE acquisition, Jul 2025). Devin 2.0 (April 2025) dropped entry pricing from $500/month to $20/month. Devin 2.2 added parallel task delegation to a team of isolated Devin instances.
- **Source:** [cognition.ai/blog/introducing-devin](https://cognition.ai/blog/introducing-devin/), [cognition.ai/blog/devin-2](https://www.cognition.ai/blog/devin-2).

### 1.2 MultiOn
- **Positioning:** "The Motor Cortex layer for AI."
- **Autonomy claim:** "Empowers web actions with AI using natural language"; parallel agents for "infinite scalability."
- **Human-likeness claim:** Agents operate browsers in a way indistinguishable from human use; Agent Q adds "decision-making and memory" for sustained sessions.
- **Surface:** Cloud sessions + Chrome extension.
- **Status:** Research-preview / developer tooling; traction modest vs. frontier labs.
- **Source:** [docs.multion.ai](https://docs.multion.ai/welcome).

### 1.3 Adept (ACT-1 / Fuyu)
- **Positioning:** "A system that can do anything a human can do in front of a computer."
- **Autonomy claim:** "Transformer for Actions" — a foundation model for actions.
- **Human-likeness claim:** Explicitly frames general intelligence as *doing what a human does at a computer*, not as chat.
- **Surface:** Browser demos; Fuyu-8B multimodal screen understanding.
- **Status:** Effectively wound down — founders/core team acqui-hired by Amazon in 2024; product never GA.
- **Source:** [adept.ai/act](https://www.adept.ai/act), [adept.ai/blog/act-1](https://www.adept.ai/blog/act-1/).

### 1.4 Lindy
- **Positioning:** "AI agents that do the work for you. Built in 48 hours."
- **Autonomy claim:** Agents are "goal-driven and adaptive… operate more independently once you've set them up," vs. "if-this-then-that" automation.
- **Human-likeness claim:** Deliberately *reduced* — "They're not here to replace marketers"; framed as additional hands, not thinkers.
- **Surface:** No-code builder; email, calendar, Slack, CRM.
- **Status:** SMB/mid-market; reports "40 hrs/week per team" saved.
- **Source:** [lindy.ai/lindy-ai-agents](https://lindy.ai/lindy-ai-agents), [lindy.ai/blog/autonomous-ai-agents](https://lindy.ai/blog/autonomous-ai-agents).

### 1.5 Relevance AI
- **Positioning:** "AI Workforce — build and manage unified AI agent teams."
- **Autonomy claim:** "Agents run autonomously against pipeline signals 24/7"; "continuously refines itself by testing new approaches."
- **Human-likeness claim:** Explicitly *organizational* — vocabulary of "recruit," "workforce," "BDR agent."
- **Surface:** Drag-and-drop canvas, 1,000+ integrations, HITL mode.
- **Status:** GTM-heavy; named BDR/SDR "employees" (e.g., Bosh).
- **Source:** [relevanceai.com/workforce](https://relevanceai.com/workforce), [relevanceai.com/agents](https://relevanceai.com/agents).

### 1.6 Sierra AI
- **Positioning:** "The conversational AI platform for business" — always-on agents for CX.
- **Autonomy claim:** "Constellation of models" — 15+ models orchestrated, "certain tasks receive more agency with greater room to reason, reflect, and use tools."
- **Human-likeness claim:** "Intuitive and authentic conversations… empathetic support"; CEO Bret Taylor: "the era of clicking buttons is over."
- **Surface:** Agent SDK + Agent Studio 2.0 (no-code); chat, SMS, WhatsApp, voice, ChatGPT.
- **Status:** Valuation rumored ~$10B; design partners include SiriusXM, ADT, WeightWatchers.
- **Source:** [sierra.ai](https://www.sierra.ai/), [sierra.ai/blog/constellation-of-models](https://sierra.ai/blog/constellation-of-models).

### 1.7 Mava
- **Positioning:** "AI support platform for Discord, Telegram & Slack."
- **Autonomy claim:** Autonomous ticket resolution with seamless handoff; 60% ticket-volume reduction.
- **Human-likeness claim:** Modest — "responds to users in their native language," multilingual politeness layer.
- **Surface:** Community inboxes; GPT-4-backed.
- **Status:** 3.5M tickets across 3,000+ communities; Web3/creator focus.
- **Source:** [mava.app/product/ai](https://www.mava.app/product/ai).

### 1.8 Decagon
- **Positioning:** "The AI concierge for every customer."
- **Autonomy claim:** "Agent Operating Procedures" — natural-language workflows that replace scripted flows; "Proactive Agents" that call out, remember across sessions.
- **Human-likeness claim:** Strong — "concierge" framing; Claude-backed for "complex instructions" and nuanced tone.
- **Surface:** Chat, email, voice; ticketing integrations.
- **Status:** Production customers Eventbrite, Rippling; reports 70% resolution rate, 95% cost reduction.
- **Source:** [decagon.ai](https://www.decagon.ai/), [anthropic.com/customers/decagon](https://anthropic.com/customers/decagon).

### 1.9 Parloa
- **Positioning:** "AI Agent Management Platform for contact centers."
- **Autonomy claim:** Orchestrates full lifecycle (design → test → deploy → monitor) at millions-of-calls scale.
- **Human-likeness claim:** Central to the pitch — "human-like conversational experiences," multi-language multi-voice; case studies named ("Mina" at BarmeniaGothaer).
- **Surface:** Voice-first, multi-channel; ISO 27001 / SOC 2 / PCI / HIPAA / GDPR.
- **Status:** European enterprise CCaaS; $66M Series B (2024).
- **Source:** [parloa.com](https://www.parloa.com/).

### 1.10 Imbue
- **Positioning:** "Tools to empower humans in the AI age."
- **Autonomy claim:** "Generally capable AI agents with human-like intelligence"; >100B-param foundation models with "inference-time techniques that spend more compute for robust conclusions."
- **Human-likeness claim:** Explicit — CEO Kanjun Qiu consistently frames the bar as *human-level* agents.
- **Surface:** Sculptor (parallel coding-agent UI), Offload (distributed testing).
- **Status:** $200M Series B (2023, $1B val); pivoted from generalist agents → developer productivity.
- **Source:** [imbue.com](https://www.imbue.com/), [imbue.com/company/introducing-imbue](https://imbue.com/company/introducing-imbue/).

### 1.11 Reflection AI
- **Positioning:** "Building Frontier Open Intelligence" / "Building superintelligent autonomous systems."
- **Autonomy claim:** Flagship product *Asimov* is a "code comprehension agent" using multi-agent architecture (retrieval agents + reasoning agent).
- **Human-likeness claim:** Implicit through "superintelligence" framing, not anthropomorphized.
- **Surface:** Asimov for enterprise codebases; learns from code + email + Slack + docs.
- **Status:** $2B round Oct 2025 led by Nvidia at $8B val; ~$4.6M early revenue.
- **Source:** [reflection.ai](https://www.reflection.ai/), [reflection.ai/blog/reflection-a-path-to-superintelligence](https://reflection.ai/blog/reflection-a-path-to-superintelligence/).

### 1.12 Manus (Butterfly Effect)
- **Positioning:** "A General AI Agent That Bridges Minds and Actions."
- **Autonomy claim:** "World's first fully autonomous AI agent"; executes multi-step tasks without supervision; "works asynchronously while you rest."
- **Human-likeness claim:** "Bridges minds and actions" — the *mind* metaphor is load-bearing in the marketing.
- **Surface:** General-purpose web agent; AWS/Bedrock infra.
- **Status:** Launched Mar 2025; $90M ARR by mid-2025; Meta acquisition $2–2.5B reported; regulatory friction in China.
- **Source:** [manusai.me](https://manusai.me/), [en.wikipedia.org/wiki/Manus_(AI_agent)](https://en.wikipedia.org/wiki/Manus_(AI_agent)).

### 1.13 Genspark (Super Agent)
- **Positioning:** "The autonomous AI workspace that thinks, plans, and acts."
- **Autonomy claim:** "All-in-one AI agent that autonomously thinks, plans, acts, and uses tools"; Mixture-of-Agents with 9 LLMs + 80+ tools.
- **Human-likeness claim:** "Sidekick for every task — from phone calls to video creation"; the think/plan/act triad explicitly mirrors human cognition.
- **Surface:** Consumer + prosumer; phone-call automation demos.
- **Status:** Viral adoption in early 2025; competitor to Manus in the "super-agent" niche.
- **Source:** [genspark.ai](https://www.genspark.ai/autopilotagent), [gensparkai.app](https://gensparkai.app/).

### 1.14 Orby AI (now Uniphore)
- **Positioning:** "Automate automation with generative AI."
- **Autonomy claim:** Neuro-symbolic "Large Action Model"; agent *observes* worker screens and auto-generates automations.
- **Human-likeness claim:** Learning-by-demonstration; the agent watches an employee do the job.
- **Surface:** Desktop agent + process-mining; finance/ops workflows.
- **Status:** Acquired by Uniphore (2024/25) to power "Business AI Cloud."
- **Source:** [orby.ai](https://www.orby.ai/), [techcrunch.com/2024/06/27/orby-is-building-ai-agents-for-the-enterprise](https://techcrunch.com/2024/06/27/orby-is-building-ai-agents-for-the-enterprise/).

### 1.15 Rabbit R1 (rabbit inc.)
- **Positioning:** "A pocket companion that moves AI from words to action."
- **Autonomy claim:** "Large Action Model" — "doesn't just generate text in response to human input; it generates actions on behalf of users to help us get things done." (CEO Jesse Lyu)
- **Human-likeness claim:** LAM trained by *watching humans use apps*; "app-free online experience."
- **Surface:** $199 dedicated device + "rabbithole" web portal.
- **Status:** Launched Jan 2024; widely criticized for gap between demo and delivered capability; still iterating in 2026.
- **Source:** [rabbit.tech/updates/introducing-r1](https://www.rabbit.tech/updates/introducing-r1), [rabbit.tech/lam-playground](https://rabbit.tech/lam-playground).

### 1.16 OpenAI Operator / ChatGPT Agent
- **Positioning:** "An agent that can do work for you independently" (Operator, Jan 2025) → "ChatGPT now thinks and acts" (ChatGPT Agent, Jul 2025).
- **Autonomy claim:** ChatGPT Agent fuses Operator (computer use) and Deep Research (multi-step reasoning) into a single system: one model, one virtual computer, fluid switching between browsing, terminal, code execution, and external connectors (Gmail, GitHub, calendar).
- **Human-likeness claim:** "Fluidly shifting between reasoning and action … iterative, collaborative workflows." Parallel execution with self-reported confidence for best-of-8 sampling.
- **Surface:** Virtual computer in the cloud; state persists across tool switches; human-in-the-loop watch mode with pause/takeover.
- **Status:** Operator launched Jan 2025 (87% WebVoyager, 58.1% WebArena, 38.1% OSWorld); ChatGPT Agent unified product launched Jul 2025 with GPT-5.2 backbone; ChatGPT Agent achieves 68.9% on agentic search/browsing tasks vs 54.9% for standalone GPT-5.2.
- **Source:** [openai.com/index/introducing-operator](https://openai.com/index/introducing-operator), [openai.com/index/introducing-chatgpt-agent](https://openai.com/index/introducing-chatgpt-agent/).

### 1.17 Anthropic Claude Computer Use
- **Positioning:** Claude can "use computers the way people do — by looking at a screen, moving a cursor, clicking buttons, and typing text."
- **Autonomy claim:** "Runs multi-step workflows autonomously… execute tasks while users are away from their computer."
- **Human-likeness claim:** The core marketing frame is literal human mimicry of GUI interaction.
- **Surface:** API, Bedrock, Vertex AI; March 2026 brought it to Claude Cowork / Claude Code on macOS.
- **Status:** Still labeled "experimental — at times cumbersome and error-prone."
- **Source:** [anthropic.com/news/3-5-models-and-computer-use](https://www.anthropic.com/news/3-5-models-and-computer-use/), [anthropic.com/news/developing-computer-use](https://anthropic.com/news/developing-computer-use).

### 1.18 Microsoft Copilot agents (Copilot Studio / Dynamics 365)
- **Positioning:** "Agents as the new apps for an AI-powered world" (Satya Nadella).
- **Autonomy claim:** "Expert systems that operate independently on behalf of a process or company… automate work across apps and data sources after you configure, secure, and test them."
- **Human-likeness claim:** "Teammates that can take action with minimal human intervention"; "the application layer is going to collapse down into agents."
- **Surface:** Copilot Studio (low-code), prebuilt agents in Dynamics 365 (Sales Qualification, Supplier Communications, etc.).
- **Status:** GA since Ignite 2024; named enterprise deployments (McKinsey, Thomson Reuters, Pets at Home, Clifford Chance).
- **Source:** [microsoft.com/.../unlocking-autonomous-agent-capabilities](https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/unlocking-autonomous-agent-capabilities-with-microsoft-copilot-studio/), [blogs.microsoft.com/blog/2024/10/21/new-autonomous-agents-scale-your-team-like-never-before](https://blogs.microsoft.com/blog/2024/10/21/new-autonomous-agents-scale-your-team-like-never-before).

### 1.19 Google Jules
- **Positioning:** "An autonomous coding agent" (asynchronous).
- **Autonomy claim:** "Clones your codebase, understands the full project context, develops a plan, shows you a diff, and creates a pull request"; parallel concurrent tasks.
- **Human-likeness claim:** Restrained — emphasizes *visible workflow* and plan before action; "user-steerable" rather than anthropomorphic.
- **Surface:** GitHub-first; Cloud VM sandbox; CLI companion (Jules Tools); Gemini 2.5 Pro backbone.
- **Status:** Exited public beta late 2025; tiered pricing across AI Pro / AI Ultra.
- **Source:** [jules.google](https://jules.google/), [blog.google/technology/google-labs/jules](https://blog.google/technology/google-labs/jules/), [blog.google/.../jules-now-available](https://blog.google/innovation-and-ai/models-and-research/google-labs/jules-now-available/).

---

## 2. Marketing Quote Library

### 2.1 On "autonomy"

| # | Vendor | Quote |
|---|---|---|
| 1 | Cognition / Devin | *"Devin can plan and execute complex engineering tasks requiring thousands of decisions… recall relevant context at every step, learn over time, and fix mistakes."* |
| 2 | Manus | *"A General AI Agent That Bridges Minds and Actions"* — "the world's first fully autonomous AI agent." |
| 3 | Genspark | *"The autonomous AI workspace that thinks, plans, and acts."* |
| 4 | Relevance AI | *"AI Workforce — build and recruit autonomous AI agents… agents run autonomously against pipeline signals 24/7."* |
| 5 | Lindy | *"AI agents that do the work for you."* Goal-driven and adaptive, not if-this-then-that. |
| 6 | Sierra | Tasks get *"more agency with greater room to reason, reflect, and use tools."* |
| 7 | Rabbit | *"LAM… doesn't just generate text in response to human input; it generates actions on behalf of users to help us get things done."* (Jesse Lyu) |
| 8 | Microsoft | *"Autonomous agents are expert systems that operate independently on behalf of a process or company."* |
| 9 | Microsoft (Nadella) | *"Agents as the new apps for an AI-powered world"*; *"the application layer is going to collapse down into agents."* |
| 10 | OpenAI Operator | *"An agent that can do work for you independently."* |
| 11 | Anthropic | *"Execute tasks while users are away from their computer."* |
| 12 | Reflection AI | *"Building superintelligent autonomous systems."* |
| 13 | Google Jules | *"An autonomous coding agent"* that runs tasks asynchronously in the background. |
| 14 | Decagon | "Proactive Agents" — outbound voice + cross-session user memory. |
| 15 | Orby AI | Observes workers and *"automatically generates automations"* — automation that automates itself. |

### 2.2 On "human-like reasoning"

| # | Vendor | Quote |
|---|---|---|
| 1 | Adept | *"A system that can do anything a human can do in front of a computer."* |
| 2 | Anthropic | Claude *"uses computers the way people do — by looking at a screen, moving a cursor, clicking buttons, and typing text."* |
| 3 | OpenAI | CUA *"perceives screenshots, reasons through next steps using chain-of-thought, performs actions."* |
| 4 | Imbue | *"Generally capable AI agents with human-like intelligence."* |
| 5 | Parloa | *"Human-like conversational experiences at millions-of-calls scale."* |
| 6 | Sierra | *"Intuitive and authentic conversations… empathetic support."* |
| 7 | Decagon | "The AI concierge for every customer." |
| 8 | Genspark | *"Autonomously think, plan, act, and use tools."* |
| 9 | Manus | *"Bridges Minds and Actions."* |
| 10 | Rabbit | LAM *"learns by observing how humans use software."* |
| 11 | Cognition | Devin uses *"advances in long-term reasoning and planning."* |
| 12 | Reflection AI | Asimov uses a *"larger reasoning agent"* that synthesizes across code, docs, and chat. |
| 13 | Microsoft | Agents as *"teammates that can take action."* |
| 14 | Orby AI | *"Neuro-symbolic reasoning"* that learns from employee demonstration. |
| 15 | MultiOn | Agent Q adds *"decision-making and memory functions"* maintaining context over extended sessions. |

---

## 3. Patterns

### 3.1 Four dominant autonomy framings
1. **"Software engineer / coworker"** — Devin, Jules, Reflection, Imbue. Anthropomorphized as a role.
2. **"Computer-using human"** — Operator, Claude CU, Adept, Rabbit, MultiOn, Orby. Anthropomorphized as a *user of software*.
3. **"Workforce / teammate / concierge"** — Relevance AI, Sierra, Decagon, Parloa, Mava, Microsoft. Anthropomorphized as a *fungible labor unit*.
4. **"General agent / super-agent"** — Manus, Genspark, Imbue (early). Anthropomorphized as a *polymath personal assistant*.

### 3.2 Shared rhetorical stack
Almost every launch page contains a **think → plan → act** triad and a **"not a chatbot"** disclaimer. Specific phrases recur almost verbatim across unrelated vendors:
- "doesn't just generate text — takes action" (Rabbit, Adept, Manus, Microsoft)
- "goal-driven / goal-oriented" (Lindy, Imbue, Sierra, Genspark)
- "agents like humans" or "the way people do" (Adept, Anthropic, Rabbit)
- "the era of [clicks / SaaS / forms / apps] is over" (Sierra, Microsoft, Rabbit)

### 3.3 Human-likeness is a spectrum, not a slider
- **Hot** anthropomorphism: Sierra ("empathetic"), Decagon ("concierge"), Parloa ("Mina"), Manus ("bridges minds"). Used where the end user is a *human customer* and tone matters.
- **Cold** anthropomorphism: Devin, Jules, Reflection, Imbue. Named roles ("software engineer") without emotional language. Used where the end user is a *developer* who values competence over warmth.
- **Refusenik**: Lindy explicitly backs off — *"they're not here to replace marketers."* Google Jules too — *user-steerable*, diff-first. These vendors sell *augmentation* rather than replacement.

### 3.4 The "reasoning trace" is becoming a visible product surface
Sierra's "room to reason, reflect," Anthropic's "think" tool, OpenAI's chain-of-thought in CUA, Jules' visible plan-before-execute, Reflection's multi-agent *reasoning agent* tier. Showing the agent thinking is itself a design pattern — customers want legibility, not just output.

### 3.5 Pricing bifurcation
- **Labor pricing** (per-seat or per-resolution): Devin ($20–$500/seat), Decagon (per-resolution), Sierra (per-conversation), Relevance (per-agent). Sold as replacing headcount.
- **Capability pricing** (subscription tiers): Genspark, Jules, Claude, Operator, Manus. Sold as a tool upgrade.
This mirrors Nadella's claim that agents collapse the app layer — where labor pricing is gaining ground, SaaS-as-system-of-record is losing it.

### 3.6 Commercial outcomes predict architecture more than vice-versa
- **Vertical + scripted** (Decagon, Sierra, Parloa, Mava) → highest ARR per customer, tightest guardrails, most *human-feel* marketing.
- **Horizontal + open-ended** (Manus, Genspark, Operator, Rabbit, Adept) → viral consumer moments, boom-and-bust reputations, highest hype-delivery gap.
- **Developer-native** (Devin, Jules, Reflection, Imbue) → steady ARR but benchmark-gated (SWE-bench, blind PR preference tests).

---

## 4. Trends

1. **"Super-agent" consolidation.** Manus ($90M ARR in <6 months → Meta acquisition), Genspark viral growth, Operator folding into ChatGPT Agent (Jul 2025). The standalone "do-everything" agent is becoming a feature of the platform, not a product.
2. **Labs → applied shift at frontier model vendors.** OpenAI, Anthropic, Google each shipped their own computer-use agent within 14 months (Oct 2024 – Dec 2025). They now compete directly with Devin/Cognition in their own product surface. Anthropic launched Claude Managed Agents (April 2026) as a fully hosted agent runtime — not just an API, but sandboxing, orchestration, and governance as a service. Early adopters include Notion, Rakuten, and Asana.
3. **Acqui-hire gravity on first-wave agent labs.** Adept (→ Amazon), Orby (→ Uniphore), Manus (→ Meta), Windsurf (→ Cognition). Pure-play agent labs are either being absorbed or pivoting to narrow verticals (Imbue → dev productivity, Reflection → coding-as-root-node).
4. **CX is the first commercially proven autonomous-agent vertical.** Sierra, Decagon, Parloa, Mava, Cresta (adjacent) all show double-digit deflection, with customer-named production deployments. Marketing has moved from "will it work" to "which provider."
5. **Voice is back.** Decagon's Proactive Agents, Parloa's voice-first platform, Sierra's voice agents, Genspark's phone-call automation. Voice is being re-pitched as the *highest-trust* autonomy interface precisely because it forces the agent to behave like a person.
6. **Transparency as a selling point.** Jules' "visible plan," Sierra's supervisor-enforced guardrails, Devin's worklog UI, Anthropic's "think" tool. Vendors are discovering that *showing the thinking* is a feature, not just an ops affordance.
7. **Open-weights is a new axis.** Reflection's "Frontier Open Intelligence" positioning and Nvidia's $800M check suggest the next agent wave may reject the closed-API dependency of the first.
8. **Interoperability is becoming a requirement.** Google's A2A protocol (April 2025, 50+ enterprise partners, Linux Foundation governance by June 2025) and Anthropic's MCP (97M monthly SDK downloads, donated to Agentic AI Foundation in December 2025) are converging into a two-layer standard: MCP for tool access, A2A for agent-to-agent communication. Enterprise buyers are now treating A2A/MCP support as a procurement criterion, not a nice-to-have.
9. **Benchmark saturation is forcing harder tests.** SWE-bench Verified exceeded 85% for top agents by April 2026. SWE-bench Pro (Scale AI, harder, less contamination risk) was introduced in 2025 as the new frontier benchmark — top scores fall to ~23%, resetting the sense of progress. Agent developers now routinely distinguish "SWE-bench number" from "production utility," since the gap between eval score and real-world reliability remains wide.

---

## 5. Gaps (relevant to "Humanizing AI Output and Thinking")

These are the places where commercial marketing overclaims or stays silent — each one is a product opportunity for a project focused on humanizing AI output and thinking.

### 5.1 "Autonomy" is a claim, not a measurement
No vendor publishes a consistent metric for *how autonomous* an agent is. Deflection rate (Decagon, Sierra) measures outcomes; SWE-bench (Devin, Reflection) measures eval-set skill; neither measures *how long can the agent run unattended before degrading*. There is an open gap for a humanized, user-legible *autonomy budget* metric.

### 5.2 Reasoning traces are either hidden or dumped raw
Current options: hidden (Operator, Claude CU in production mode), expert-dump (Devin's worklog, Reflection's multi-agent logs), or sanitized plan-view (Jules). **None of them produce reasoning that reads like a human explaining themselves**, with appropriate uncertainty, metacognition, or voice. This is the core humanization gap.

### 5.3 Human-likeness is performed in tone but not in *thought shape*
Decagon/Sierra/Parloa optimize empathy *on the wire* (voice, politeness, honorifics). But the underlying plan-tree still looks like an LLM's. There is no commercial product that explicitly makes the *reasoning itself* human-shaped — hypothesizing, bet-hedging, changing one's mind, admitting when the question is weirder than expected.

### 5.4 The "teammate" metaphor is lopsided
Vendors talk about agents as teammates but do not deliver the things real teammates do: asking good clarifying questions, pushing back on bad requests, surfacing second-order consequences, volunteering context the user didn't ask for. Lindy explicitly *refuses* this framing; everyone else implies it and doesn't deliver. Space for product differentiation.

### 5.5 Memory is still product-shaped, not relationship-shaped
Decagon's "cross-session memory," Manus's "works while you rest," MultiOn Agent Q's "memory functions" — all focus on **task continuity**. None commit to the relationship continuity that makes humans feel *known* (preferences evolving over months, shared history, inside jokes). Humanization opportunity.

### 5.6 Failure modes are under-humanized
Commercial agents fail in distinctly robotic ways: silent stalls (Rabbit), confident wrong answers (Devin early), infinite retry loops (Operator). A human colleague fails differently — they *say* they're stuck, they *ask* for help, they *admit* uncertainty. No vendor currently markets on *how the agent fails*, which is precisely where human-likeness is most visible.

### 5.7 Enterprise vs. consumer autonomy split is widening
Enterprise (Sierra, Decagon, Parloa, Microsoft) increasingly pitches *governed, bounded* autonomy. Consumer (Manus, Genspark, Rabbit, Operator) pitches *unbounded* autonomy. There is no shared grammar — a single user may encounter both patterns in a single day. Opportunity for a unifying interaction language.

### 5.8 "Thinking like a human" is rarely defined
Every vendor uses the phrase, none define it. Adept got closest ("anything a human can do in front of a computer") but scoped it to motor actions, not thought. The taxonomy itself is a missing artifact — and one that a humanization-focused project is well positioned to produce.

---

## 6. Sources

- Cognition/Devin — [cognition.ai/blog/introducing-devin](https://cognition.ai/blog/introducing-devin/), [cognition.ai/blog/devin-2](https://www.cognition.ai/blog/devin-2), [en.wikipedia.org/wiki/Devin_AI](https://en.wikipedia.org/wiki/Devin_AI)
- MultiOn — [docs.multion.ai](https://docs.multion.ai/welcome)
- Adept — [adept.ai/act](https://www.adept.ai/act), [adept.ai/blog/act-1](https://www.adept.ai/blog/act-1/)
- Lindy — [lindy.ai/lindy-ai-agents](https://lindy.ai/lindy-ai-agents), [lindy.ai/blog/autonomous-ai-agents](https://lindy.ai/blog/autonomous-ai-agents)
- Relevance AI — [relevanceai.com/workforce](https://relevanceai.com/workforce), [relevanceai.com/agents](https://relevanceai.com/agents)
- Sierra — [sierra.ai](https://www.sierra.ai/), [sierra.ai/blog/constellation-of-models](https://sierra.ai/blog/constellation-of-models), [sierra.ai/blog/meet-agent-studio](https://sierra.ai/blog/meet-agent-studio)
- Mava — [mava.app/product/ai](https://www.mava.app/product/ai)
- Decagon — [decagon.ai](https://www.decagon.ai/), [anthropic.com/customers/decagon](https://anthropic.com/customers/decagon), [decagon.ai/proactive-agents](https://decagon.ai/proactive-agents)
- Parloa — [parloa.com](https://www.parloa.com/), [parloa.com/platform](https://www.parloa.com/platform/)
- Imbue — [imbue.com](https://www.imbue.com/), [imbue.com/company/introducing-imbue](https://imbue.com/company/introducing-imbue/)
- Reflection AI — [reflection.ai](https://www.reflection.ai/), [reflection.ai/blog/reflection-a-path-to-superintelligence](https://reflection.ai/blog/reflection-a-path-to-superintelligence/), [sequoiacap.com/article/reflection-ai-asimov](https://www.sequoiacap.com/article/reflection-ai-asimov/)
- Manus — [manusai.me](https://manusai.me/), [en.wikipedia.org/wiki/Manus_(AI_agent)](https://en.wikipedia.org/wiki/Manus_(AI_agent)), [interestingengineering.com/innovation/worlds-first-fully-autonomous-ai-agent-manus](https://interestingengineering.com/innovation/worlds-first-fully-autonomous-ai-agent-manus)
- Genspark — [genspark.ai/autopilotagent](https://www.genspark.ai/autopilotagent), [gensparkai.app](https://gensparkai.app/)
- Orby AI — [orby.ai](https://www.orby.ai/), [techcrunch.com/2024/06/27/orby-is-building-ai-agents-for-the-enterprise](https://techcrunch.com/2024/06/27/orby-is-building-ai-agents-for-the-enterprise/)
- Rabbit — [rabbit.tech/updates/introducing-r1](https://www.rabbit.tech/updates/introducing-r1), [rabbit.tech/lam-playground](https://rabbit.tech/lam-playground)
- OpenAI Operator — [openai.com/index/introducing-operator](https://openai.com/index/introducing-operator), [openai.com/index/computer-using-agent](https://openai.com/index/computer-using-agent/)
- Anthropic Claude CU — [anthropic.com/news/3-5-models-and-computer-use](https://www.anthropic.com/news/3-5-models-and-computer-use/), [anthropic.com/news/developing-computer-use](https://anthropic.com/news/developing-computer-use)
- Microsoft Copilot agents — [microsoft.com/.../unlocking-autonomous-agent-capabilities](https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/unlocking-autonomous-agent-capabilities-with-microsoft-copilot-studio/), [blogs.microsoft.com/blog/2024/10/21/new-autonomous-agents-scale-your-team-like-never-before](https://blogs.microsoft.com/blog/2024/10/21/new-autonomous-agents-scale-your-team-like-never-before), [blogs.microsoft.com/blog/2025/05/19/microsoft-build-2025-the-age-of-ai-agents-and-building-the-open-agentic-web](https://blogs.microsoft.com/blog/2025/05/19/microsoft-build-2025-the-age-of-ai-agents-and-building-the-open-agentic-web)
- Google Jules — [jules.google](https://jules.google/), [blog.google/technology/google-labs/jules](https://blog.google/technology/google-labs/jules/), [blog.google/.../jules-now-available](https://blog.google/innovation-and-ai/models-and-research/google-labs/jules-now-available/)
